JP2006146823A - Video object trajectory adding system and video object trajectory adding program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a video object trajectory adding system for displaying a trajectory by adapting to a video object trajectory within a frame image and changing the position of the video object trajectory. <P>SOLUTION: The video object trajectory adding means (video object trajectory adding system) 30 comprises a video object positional information storing means 31 for storing the past trajectory positional information which is the positional information of the video object of each trajectory inputted through a video object extracting means (video object detecting device) 10 for detecting the position of the video object from the frame image, a trajectory image position setting means 32 for shifting the position shown by the past trajectory positional information based on the positional information of the video object trajectory in the other frame image by reading out the past trajectory positional information, and an image synthesizing means 33 for synthesizing a trajectory image at the position shifted in the other frame image. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a video production technique, and more particularly to a video object trajectory adding apparatus and a video object trajectory adding program for generating a video showing a trajectory of a video object.

  Conventionally, a difference between images that are captured in time series and that constitute a video (a frame image in the case of a non-interlace method, a frame image or a field image (hereinafter simply referred to as a frame image) in the case of an interlace method) is obtained. There is a device that extracts a video object that is an image of a moving object by a method and expresses the trajectory of the video object on a video by overwriting the video object. However, with this technology, for example, in a video such as a baseball game, when the trajectory of a ball, which is a video object to be extracted, is represented on the video, video objects other than the ball such as a pitcher's arm and bat are extracted. Will be.

  A system that can stably extract only a specific video object has been developed (see Non-Patent Document 1). In this system, for each frame image input in time series, a difference image between the frame image input immediately before and a difference image between the frame image input immediately thereafter are obtained. Then, an area in which the sign of the pixel value is different between the two difference images is set as a video object candidate. Further, an area in the frame image where a video object that is likely to be erroneously detected is set as a mask area in advance, and after the video object in the mask area is excluded from the extracted video object candidates, the target becomes the target. Select a video object and display the trajectory.

Therefore, in this system, when displaying the trajectory of a video object that moves at high speed, such as a baseball ball, the video object that moves at low speed can be removed to extract the target video object, and it is easy to be erroneously detected. Since the video object can be extracted except for the mask area where the video object exists, the target video object can be tracked stably.
Masaki Takahashi, 3 others, “Baseball pitching trajectory display method”, Technical Report of the Institute of Image Information and Television Engineers, October 21, 2004, VOL. 28, NO. 61, p. 25-28

  However, in the system of Non-Patent Document 1, the extracted video object is directly combined with another frame image, and the position of the extracted video object is automatically changed according to the frame image to be combined. I could not. For example, the position of the video object that draws a different locus extracted before that cannot be moved as a whole in accordance with the position of the video object in the frame image to be synthesized, and cannot be displayed.

  On the other hand, for example, in a baseball broadcast or the like, a slow video or a trajectory video is used as a video to look back at the ball after a pitch. However, in these images, only the ball of the pitch can be displayed. For example, when displaying a change ball with a large drop, if there is no comparison target with the change ball, how much the change ball of the drop is It is difficult to tell. For this reason, it is desired to display not only one pitching trajectory (current trajectory) but also a pitching trajectory (past trajectory) acquired before that time.

  However, when displaying the trajectory using a camera image taken from the center direction that is generally used in baseball broadcasts, various camera operations are performed between pitches, although they are fixedly shot at the time of pitching. Is called. Therefore, for example, when the camera angle changes, if a past trajectory is displayed on a video that is subsequently captured, the current trajectory and the past trajectory are displayed at different locations in the frame image, and the past trajectory is It could not be effectively displayed as a trajectory comparison.

  The present invention has been made to solve the above-described problems of the prior art, and changes the display position of the trajectory of the video object acquired before according to the trajectory of the video object in the frame image. An object of the present invention is to provide a video object trajectory adding apparatus and a video object trajectory adding program capable of displaying a trajectory.

  In order to solve the above problem, the video object trajectory adding device according to claim 1, wherein the video object in the frame image is detected from a video object detection device that detects a position of the video object in the frame image input in time series. The position information indicating the position of the object is input, and a trajectory image indicating the trajectory of the video object included continuously in the plurality of frame images input in time series is captured from the position where the frame image is captured. A video object trajectory adding apparatus for adding to another frame image is configured to include video object position information storage means, trajectory image position setting means, and image composition means.

  According to such a configuration, the video object trajectory adding device includes the past trajectory position which is the positional information of the video object continuously included in the plurality of frame images input from the video object detection device to the video object position information storage unit. Information is stored in correspondence with the trajectory information for specifying the trajectory of the video object. Further, by the trajectory image position setting means, the past trajectory position information corresponding to arbitrary trajectory information is read from the video object position information storage means, and the position information of the video object of another frame image or the trajectory position of the video object is read. Based on the information, a shift amount for shifting the position indicated by the past locus position information is set, and a past locus position obtained by shifting the position indicated by the past locus position information by this shift amount is set. Further, the trajectory image is synthesized with the past trajectory position of another frame image set by the trajectory image position setting means by the image synthesizing means.

  Thus, the video object trajectory adding device shifts the position of the trajectory of the previously detected video object in accordance with the position of the video object in the frame image or the trajectory of the video object, and converts the trajectory into the frame image. Can be synthesized. Note that the frame image in which the position of the video object is detected and the other frame image in which the trajectory image is synthesized based on this position are taken by a camera installed at the same position. The camera angle may be different. Then, since the frame image in which the position of the video object is detected differs from the other frame image in the camera angle at the time of shooting, the position of the video object detected from the frame image and the video object of the other frame image Even when the position does not correspond, the video object trajectory adding device shifts the position of the detected video object trajectory and adds the trajectory image to the position corresponding to the position of the video object in the other frame image. Can do. In addition, when the input video signal is captured by the interlace method, the video object trajectory adding device may perform an operation on each frame image on the field image.

  The video object trajectory addition program according to claim 2 is a plurality of frames input in time series detected by a video object detection device that detects a position of a video object in a frame image input in time series. The past trajectory position information, which is stored in association with the trajectory information for specifying the trajectory of the video object, is stored in correspondence with the trajectory information specifying the trajectory of the video object. The computer is caused to function as a trajectory image position setting unit and an image synthesizing unit to read out and add a trajectory image indicating the trajectory to another frame image captured from the position where the frame image was captured. .

  According to such a configuration, the video object trajectory addition program reads the past trajectory position information corresponding to the arbitrary trajectory information from the video object position information storage device by the trajectory image position setting means, and stores other frame images. A shift amount for shifting the position indicated by the past trajectory position information is set based on the position information of the video object or the trajectory position information of the video object, and the position indicated by the past trajectory position information is shifted by this shift amount. Set the past trajectory position. The trajectory image is synthesized with the past trajectory position of another frame image set by the trajectory image position setting means by the image compositing means.

  As a result, the video object trajectory addition program shifts the position of the trajectory of the previously extracted video object in accordance with the position of the video object in the frame image or the trajectory of the video object, and converts the trajectory into the frame image. Can be synthesized.

  The video object trajectory adding apparatus and the video object trajectory adding program according to the present invention have the following excellent effects.

  According to the first or second aspect of the present invention, it is possible to display the trajectory of the video object extracted before that in the video object in the video or at a position that can be easily compared with the trajectory of the video object. . Therefore, it is possible to provide a video that can effectively present the characteristics of the motion of the video object in the video using the past trajectory as a comparison and contrast.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. Here, the video object trajectory adding means (video object trajectory adding device) according to the present invention uses the trajectory (current trajectory) of the video object with the movement to be tracked and the video object in the video previously captured. A case will be described in which the present invention is applied to a trajectory-added video generation apparatus that generates a video to which a trajectory (past trajectory) is added.

[Configuration of locus added video generation device]
First, the configuration of the trajectory-added video generation device will be described with reference to FIG. FIG. 1 is a block diagram showing a configuration of a trajectory-added video generation apparatus including video object trajectory adding means of the present invention. The trajectory-added video generation device 1 extracts and tracks a video object from a frame image that constitutes an input video, and adds a trajectory image indicating the trajectory of the video object to a subsequently input frame image. is there. The trajectory-added video generation apparatus 1 includes a video object extraction unit 10, a video delay unit 20, and a video object trajectory addition unit 30.

  The video object extracting means (video object detection device) 10 extracts and tracks a video object to be tracked for each frame image from the input video. The video object extraction unit 10 includes an object candidate image generation unit 11, an object selection unit 12, an extraction condition storage unit 13, a position prediction unit 14, a search area setting unit 15, and an ID number addition unit 16.

  The object candidate image generating means 11 generates an object candidate image obtained by extracting video object candidates to be tracked for each frame image from the input video. Here, the object candidate image generation unit 11 includes a difference image (difference image 1) between a frame image from which a candidate for a video object is extracted and a frame image input after one frame from the frame image, and an extraction target. A difference image (difference image 2) between the frame image to be input and a frame image input one frame before this frame image is generated, and an object is generated based on the difference image (difference image 1, difference image 2). A candidate image is generated. The object candidate image generation unit 11 includes image delay units 111 and 112, difference image generation units 113 and 114, and a candidate image generation unit 115.

  The image delay units 111 and 112 delay the input video signal by one frame. For example, the image delay units 111 and 112 may include a general delay circuit, or the input video signal may be converted into digital data in units of one frame. It is good also as consisting of memory etc. which memorize | store. Here, the image delay unit 111 receives a video signal from the outside, and the image delay unit 112, the difference image generation units 113 and 114, and the object selection unit 12 as a video signal obtained by delaying the video signal by one frame. The result is output to the feature amount analysis unit 122. Further, the image delay unit 112 receives a video signal delayed by one frame from the image delay unit 111, and further delays the video signal by one frame to obtain a video signal delayed by two frames. It outputs to the difference image generation unit 114.

  The difference image generation units 113 and 114 calculate a difference between the signal levels of the luminance signals of the two input video signals and generate a difference image for each frame image, and are configured by a general subtraction circuit or the like. Can do. Here, the frame image of the video signal delayed by one frame by the image delay unit 111 is set as a video object candidate extraction target. Then, the difference image generation unit 113 subtracts the signal level of the luminance signal of the video signal input from the outside from the signal level of the luminance signal of the video signal delayed by one frame input from the image delay unit 111. Thus, the difference image 1 is generated. Further, the difference image generation unit 114 receives the video signal delayed by one frame input from the image delay unit 111 from the signal level of the luminance signal of the video signal delayed by two frames input from the image delay unit 112. The difference image 2 is generated by subtracting the signal level of the luminance signal. The difference images generated here (difference image 1 and difference image 2) are output to the candidate image generation unit 115.

  The candidate image generation unit 115 uses the pixel values (luminance signal) of the difference images (the difference image 1 and the difference image 2) input from the difference image generation units 113 and 114 for the search area set by the search area setting unit 15 described later. The object candidate image is generated by determining for each pixel whether the signal level of each pixel satisfies a predetermined condition. Here, for each pixel, the pixel value of the difference image 1 and the pixel value of the difference image 2 in the pixel are different from each other, and the pixel value is set to “1 ( White) ”, and in other cases“ 0 (black) ”, an object candidate image is generated. As a result, an area where the pixel value is “1 (white)” can be extracted as a candidate video object. The object candidate image generated here is output to the object selection means 12.

  The object selection unit 12 extracts (tracks) from the object candidate images generated by the object candidate image generation unit 11 based on the extraction condition indicated by the extraction condition information 131 stored in the extraction condition storage unit 13. The target video object is selected, and the position of the video object and the feature quantity characterizing the video object are extracted. Here, the object selection unit 12 includes a labeling unit 121, a feature amount analysis unit 122, a filter processing unit 123, and an object selection unit 124.

  The labeling unit 121 assigns numbers (labels) to regions that are candidates for video objects in the object candidate images generated by the object candidate image generating unit 11. That is, the labeling unit 121 assigns one number to a connected area (connected area) having a pixel value of “1 (white)” that is an area of the video object. As a result, the video object candidates in the object candidate image are numbered.

  The feature amount analysis unit 122 analyzes video object candidates corresponding to the labels labeled by the labeling unit 121, and analyzes the position of the video object candidate and the feature amount characterizing the video object. Here, the feature amount analysis unit 122 corresponds to the video object corresponding to the label labeled by the labeling unit 121 in the frame image delayed by one frame input from the image delay unit 111 of the object candidate image generation unit 11. The feature amount is analyzed for each area to be processed. The analyzed position and feature amount of the video object are output to the filter processing unit 123.

  Here, as the position of the video object, the position of the center of gravity of the video object, the vertex coordinates of the polygon approximation, the control point coordinates of the spline curve, and the like can be used. For example, the area, brightness, color, and circularity of the video object can be used as the feature amount of the video object.

The area indicates the number of pixels of the video object, for example. Further, the luminance indicates an average value of the luminance of each pixel in the video object. The color indicates an average value of colors (for example, RGB values) of each pixel in the video object. For this color, the background color of the background image may be set as an initial value, and the amount of change from the background color may be set as a threshold value. The circularity is an index indicating the complexity of the shape, and has a larger value as it becomes closer to a circle. The circularity e is expressed by the following equation (1), where S is the area of the video object and L is the perimeter.
e = 4πS / L ² (1)

  The filter processing unit 123 extracts the extraction condition information 131 stored in the extraction condition storage unit 13 based on the feature amount input from the feature amount analysis unit 122 for each video object candidate numbered by the labeling unit 121. The video objects to be extracted (tracked) are narrowed down by determining whether or not the video objects satisfy the extraction condition indicated by. The label and position of the selected video object are output to the object selection unit 124. If there is no video object that matches the extraction condition, the filter processing unit 123 notifies the ID number adding unit 16 to that effect.

  That is, for each video object candidate, the filter processing unit 123 performs extraction conditions (for example, area, luminance, color, and circularity) indicated by the extraction condition information 131 and filter processing (area filter, luminance filter, color filter). And a circularity filter), a video object that satisfies the extraction condition is selected.

  The object selection unit 124 calculates the video object calculated based on the position of the video object of the previous frame image by the position predicting unit 14 described later based on the position of the video object with the label input from the filter processing unit 123. The video object closest to the predicted position is selected as the video object to be tracked. The position of the selected video object is output to the position predicting unit 14 and the ID number adding unit 16 as position information indicating the trajectory of the video object in the frame image. Further, the feature amount of the video object selected here is output to the drawing unit 331 of the image composition unit 33.

  The extraction condition storage unit 13 stores conditions for selecting a video object to be extracted (tracked) by the object selection unit 12 and includes a general storage unit such as a hard disk. The extraction condition storage unit 13 stores extraction condition information 131 indicating various extraction conditions.

  The extraction condition information 131 is information describing the extraction condition of the video object to be extracted, and describes, for example, at least one extraction condition of area, luminance, color, and circularity. This extraction condition information 131 is a filter (area filter, luminance filter) for the filter processing unit 123 of the object selection unit 12 to select a video object to be extracted from the object candidate images generated by the object candidate image generation unit 11. , Color filter and circularity filter).

  The extraction condition information 131 stores a predetermined initial value and a threshold value indicating an allowable range as conditions for the area filter, the luminance filter, the color filter, and the circularity filter. As a result, video objects having features outside the threshold can be excluded from video object candidates to be extracted.

  The position prediction unit 14 analyzes the predicted position of the video object in the next frame image based on the position information of the video object input from the object selection unit 124 of the object selection unit 12. Here, the position prediction unit 14 includes a linear prediction unit 141, a curve prediction unit 142, and a switching unit 143.

  The linear prediction unit 141 uses the linear prediction to determine the predicted position of the video object in the next frame image based on the position information (centroid coordinates, etc.) of the video object input from the object selection unit 124 of the object selection unit 12. Is to be calculated. Here, the linear prediction unit 141 can calculate the predicted position of the video object in the next frame image, for example, by applying a Kalman filter or the like to the barycentric coordinates. The predicted position calculated here is output to the switching unit 143.

  The curve prediction unit 142 approximates the trajectory of the video object based on the position information (center of gravity coordinates, etc.) of the video object input from the object selection unit 124 of the object selection unit 12 to obtain the next frame image. The predicted position of the video object in is calculated. The predicted position calculated here is output to the switching unit 143.

  The switching unit 143 outputs one of the predicted position input from the linear prediction unit 141 and the predicted position input from the curve prediction unit 142 as the predicted position of the video object of the next frame image. . Here, the switching unit 143 outputs the predicted position input from the linear prediction unit 141, for example, when the position information of the already extracted video object is less than a predetermined number necessary for curve prediction, When the number is greater than or equal to the predetermined number, the predicted position input from the curve prediction unit 142 may be output. Further, when the value of the coefficient in the quadratic curve approximation of the trajectory in the curve prediction unit 142 is largely changed due to erroneous detection or the like, or when the coefficient exceeds a predetermined value, the prediction from the curve prediction unit 142 to the linear prediction unit 141 is performed. It is good also as switching to a position and outputting. The predicted position selected here is input to the object selection unit 124 of the object selection unit 12 and the search area setting unit 15.

  The search area setting unit 15 sets the search area of the video object in the next frame image based on the predicted position of the video object in the next frame image calculated by the position prediction unit 14. The search area is an area where an object candidate image is generated from the next frame image by the object candidate image generation means 11. The position and size of the search area set here are output to the candidate image generation unit 115 of the object candidate image generation unit 11. Here, the search area setting means 15 may set an area having a size input from an input means (not shown).

  The ID number adding unit 16 uses the position information of the video object continuously tracked from the frame image input in time series by the object selecting unit 12 as the position information constituting the trajectory of a series of movements of the same video object. Assuming that there is a trajectory number (trajectory information) indicating this trajectory, a sequential number (ID number) is added in time series to the position information for each trajectory number. Here, the ID number adding unit 16 determines that the extraction of a series of motion video objects by the object selection unit 12 is completed based on the notification input from the filter processing unit 123 that there is no video object that satisfies the extraction condition. Judgment can be made. The position information to which the ID number is added is stored in the video object position information storage unit 31.

  The video delay means 20 delays the frame image of the video signal input from the outside by a predetermined number of frames in order to synchronize with the trajectory image synthesized by the image synthesis means 33 described later. The video signal delayed here is output to the image synthesizing unit 33 of the video object locus adding unit 30.

  The video object trajectory adding means (video object trajectory adding apparatus) 30 is a current frame which is a frame image of the video signal input from the video delay means 20 based on the position information of the video object input from the video object extracting means 10. A past trajectory image (trajectory image), which is an image showing a trajectory (past trajectory) of a video object photographed before the image, is combined with the current frame image to generate a trajectory-added video. The video object trajectory adding unit 30 includes a video object position information storage unit 31, a trajectory image position setting unit 32, and an image composition unit 33.

  Here, the video object trajectory adding means 30 combines the current trajectory image indicating the trajectory (current trajectory) of the video object of the current frame image with the current trajectory image together with the past trajectory image. Then, the display position of the past trajectory is shifted as a whole so that the position of the first video object in the past trajectory coincides with the position of the first video object in the current trajectory. Further, the video object trajectory adding means 30 synthesizes the past trajectory image and the current trajectory image into the current frame image when an instruction for synthesizing the past trajectory image is input from an input means (not shown). When no command for synthesizing the trajectory image is input, only the current trajectory image is synthesized with the current frame image.

  The video object position information storage means (video object position information storage device) 31 stores the position information of the video object input from the ID number adding means 16 and is a general storage medium such as a hard disk. The position information stored here is information indicating the position of the video object extracted by the object selection means 12, and is, for example, the barycentric position of the video object. This position information is referred to and used by the trajectory image position setting unit 32 when setting the position where the past trajectory image is synthesized.

  Here, the video object position information storage means 31 stores the position information of the video object and the trajectory number (trajectory information) in association with each other, and further, in time series for each position information and trajectory number. The assigned ID numbers are stored in correspondence with each other. Here, the position information stored in the video object position information storage means 31 will be described with reference to FIG. FIG. 2 is an explanatory diagram for explaining an example of the position information stored in the video object position information storage means, and (a) is a position of the video object when the position information of the video object of one trajectory is input. An example of the position information stored in the information storage means, (b) is an example of the position information stored in the video object position information storage means when the position information of the video object of two trajectories is input.

First, the position information to which the ID number is added is input from the ID number adding means 16 to the video object position information storage means 31. Here, it is assumed that the position information (x ₁ , y ₁ ) to which the ID number “1” is added is input from the ID number adding unit 16 to the video object position information storage unit 31. Here, for example, it is assumed that the lower left of the frame image is the origin, the x axis is set in the horizontal direction, and the y axis is set in the vertical direction. Then, as shown in FIG. 2A, the video object position information storage unit 31 uses the input position information C1 (x ₁ , y ₁ ) as the trajectory number “1” (T1) and the ID number “1” ( And stored in correspondence with I1).

When the next video object is extracted from the continuous frame image by the object selection unit 12, the ID number “2” is added to the video object position information storage unit 31 from the ID number addition unit 16. Position information (x ₂ , y ₂ ) is input. Then, as shown in FIG. 2A, the video object position information storage unit 31 uses the position information C2 (x ₂ , y ₂ ) as the trajectory number “1” (T1) and the ID number “2” (I2). It memorize | stores corresponding to.

Then, it is assumed that n ₁ −2 video objects are sequentially extracted from the continuous frame images by the object selection unit 12. Then, as shown in FIG. 2A, the video object position information storage unit 31 stores the position information C3,..., Cn ((x ₃ , y ₃ ),..., (X _n , y _n )). The trajectory number “1” (T1) and the ID numbers “3”,..., “N” (I3,..., In) are stored in association with each other.

  Here, it is assumed that the video object is not extracted from the continuous frame images by the video object extraction means 10. Then, this notification is input to the ID number adding means 16, and based on this notification, the ID number adding means 16 adds 1 to each trajectory number stored in the video object position information storage means 31 and rewrites it. In FIG. 2A, the trajectory number “1” (T1) stored in the video object position information storage unit 31 is rewritten to “2” (T2 in FIG. 2B). As a result, the trajectory number indicating the trajectory of the video object of the current frame image is always “1”.

Thereafter, when the video object extraction unit 10 extracts the first video object among video objects that draw different trajectories, the ID number “1” is stored in the video object position information storage unit 31 from the ID number adding unit 16. The position information (x _{n + 1} , y _{n + 1} ) to which “is added is input. Then, as shown in FIG. 2B, the video object position information storage unit 31 uses the position information Cn + 1 (x _{n + 1} , y _{n + 1} ) as the trajectory number “1” (T1 ′) and the ID number “ 1 "(In + 1). As described above, the video object position information storage unit 31 can store the trajectory number and the ID number in association with the position information.

  Returning to FIG. 1, the description will be continued. The trajectory image position setting means 32 sets the position where the past trajectory image is drawn and synthesized by the image synthesizing means 33 described later. Here, the trajectory image position setting unit 32 includes a position information reading unit 321 and an additional position setting unit 322.

  The position information reading unit 321 includes the position information of the trajectory of the video object captured before the current frame image (past trajectory position information) and the same trajectory number as the video object of the current frame image (here, the trajectory number “1”). ) Position information is read out from the video object position information storage means 31. Here, the position information reading unit 321 reads position information corresponding to the trajectory number input from the outside together with a command for synthesizing the past trajectory image from an input unit (not shown) from the video object position information storage unit 31. Here, in the case where the trajectory number is not input together with the past trajectory image compositing command, the position information reading unit 321 has a trajectory number indicating the trajectory immediately before the video object of the current frame image (here, The position information of the trajectory number “2”) is read from the video object position information storage unit 31.

  Also, here, in order to match the position of the first video object in the past trajectory with the position of the first video object in the current trajectory, the position information reading unit 321 has position information of the same trajectory number as the video object of the current frame image. Among them, the position information whose ID number is 1 is read. The position information read here is output to the additional position setting unit 322.

  The additional position setting unit 322 sets the position of the past trajectory image based on the position information input from the position information reading unit 321. Here, the additional position setting unit 322 shifts the position indicated by the position information of the video object of the past trajectory input from the position information reading unit 321 according to the position of the first video object of the current trajectory. Set the position of the trajectory image. The position of the past trajectory image set here is output to the composition unit 332 of the image composition unit 33.

  Here, the additional position setting unit 322 sets the position of the past locus image based on the position information indicating the past locus and the position information of the first video object in the current locus. Here, a method for setting the position of the past locus image will be described with reference to FIG. 3 (refer to FIG. 1 as appropriate). FIG. 3 is an explanatory diagram for explaining an example of a method of setting the position of the past trajectory image by the additional position setting unit, and (a) is the position of the video object of the past trajectory read by the position information reading unit. Schematic diagram schematically showing the position indicated by the information and the position information of the first video object of the current trajectory, (b) schematically shows the position of the past trajectory image set by the additional position setting unit It is a schematic diagram. Here, the x-axis is set in the horizontal direction and the y-axis is set in the vertical direction of the frame image.

The position information reading unit 321 reads n _k pieces of position information (here, centroid coordinates) of the trajectory number “k” and the position information of the first video object (ID number “1”) of the current trajectory. 3 (a), the location information Ck1 with the trajectory number “k”, the ID number “1” is (xk1, yk1), and the location information Ck2 with the ID number “2”, as shown in FIG. the (xk2, yk2), ID number is the position information Ckn _k of "n _k" and (xkn _k, ykn _k), currently the position information C0 of the first video object trajectory and (x0, y0).

Then, the additional position setting unit 322 matches the position information Ck1 (xk1, yk1) of the first (ID number “1”) of the past locus with the position information C0 (x0, y0) of the first video object of the current locus. Therefore, it is moved by (x0−xk1, y0−yk1) in the x and y axis directions, and set to the position Dk1 (x0, y0) of the past trajectory image. The other location information Ck2 past trajectory, ..., the position of CKN _k, x, is moved in the y-axis direction by (x0-xk1, y0-yk1 ), the position of the past trajectory image Dk2 (xk2 + x0-xk1, yk2 + y0 -yk1), ..., and _{Dkn k (xkn k + x0-} xk1, ykn k + y0-yk1).

  In this way, the additional position setting unit 322 synthesizes the past trajectory image at a position shifted as a whole so that the position of the first video object in the past trajectory matches the position of the first video object in the current trajectory. Can be set.

  Here, the additional position setting unit 322 sets the position of the first video object in the past trajectory to the position of the first video object in the current trajectory. Is not limited to this. For example, the position of the first video object in the past trajectory may be set to be a predetermined distance above the position of the first video object in the current trajectory, or the video object and ID number of the current frame image May be set so that the position of the video object of the same past locus becomes the position of the video object of the current frame image.

  Returning to FIG. 1, the description will be continued. The image synthesizing unit 33 draws and synthesizes the past trajectory image at the position set by the trajectory image position setting unit 32 in the frame image of the video signal input from the video delay unit 20. Here, the image synthesizing unit 33 includes a drawing unit 331 and a synthesizing unit 332.

  The drawing unit 331 generates a past trajectory image at the position input from the additional position setting unit 322 and reads position information of the same trajectory number (here, trajectory number “1”) as the video object of the current frame image. The current trajectory image indicating the trajectory of the video object of the current frame image is drawn based on the feature quantity of the video object input from the object selection unit 12 of the video object extraction unit 10 at the position indicated by the position information. It is. The image drawn here is output to the synthesis unit 332.

  The combining unit 332 combines the image input from the drawing unit 331 with the frame image of the video signal input from the video delay unit 20. The video composed of the frame images synthesized here is output to the outside as a trajectory-added video.

  The configuration of the trajectory-added video generation device 1 according to the present invention has been described above, but the present invention is not limited to this. For example, here, the video object extraction means 10 generates two difference images of a frame image from which a video object is to be extracted and a frame image that is input one frame before and after this frame image. However, the video object extraction method of the video object extraction means 10 is not limited to this, and it is sufficient that the position of the video object can be detected for each frame image. For example, the video object may be detected from the frame image depending on the shape of the video object to be extracted, or may be detected based on the color of the video object.

  Here, the video object position information storage unit 31 stores the position information of the video object, the trajectory number, and the ID number in association with each other, and the position information reading unit 321 includes the past trajectory position information. The position information having the ID number 1 is read out from the position information of the same trajectory number as that of the video object of the current frame image. For example, the video object position information storage unit 31 only includes the position information and the trajectory number. May be stored in association with each other. At this time, for example, when the video object moves from left to right in the video, the position information reading unit 321 includes the position information of the past trajectory and the position information of the same trajectory number as the video object of the current frame image. The position information having the smallest x coordinate value may be read out.

  Further, here, the trajectory number is set by the ID number adding means 16, and the video object position information storage means 31 stores the trajectory number and the position information of the video object in association with each other. Any information may be used as long as the locus can be specified. For example, the trajectory-added video generation apparatus 1 does not include the ID number adding unit 16, and the video object position information storage unit 31 uses the time when the frame image from which the video object is extracted as trajectory information, and the trajectory. Information and position information may be stored in association with each other. At this time, for example, the position information reading unit 321 assumes that the position information in which the time of the locus information is continuous is the position information indicating a series of movement locus, and the position of the locus designated based on the command input from the outside. Information can be read out. Further, the video object position information storage unit 31 may store the position information as text data or the like, for example, and record it by changing the line for each locus. At this time, the position information reading unit 321 can read the position information of an arbitrary locus using the row number as the locus information.

  In addition, here, one video to which a trajectory is added is input from the outside, and the video object position information storage unit 31 stores the two-dimensional coordinates of the video object in the frame image of the video as the position information. The additional position setting unit 322 sets the position of the past trajectory image based on the two-dimensional coordinates. For example, a video captured from a different place is further input from the outside, and the three-dimensional position ( It is also possible to analyze (three-dimensional coordinates). At this time, the video object extracting means 10 analyzes the three-dimensional coordinates of the video object based on the two-dimensional coordinates of the video object extracted from two or more videos and the camera parameters of the photographed camera. The dimensional coordinates may be stored in the video object position information storage unit 31 as position information. Further, the two-dimensional coordinates of the video object extracted from two or more videos by the video object extraction means 10 are stored as the position information in the video object position information storage means 31, and the position information reading unit 321 takes a photographed camera. The three-dimensional coordinates may be analyzed based on the camera parameters and the read position information. Then, the additional position setting unit 322 shifts the three-dimensional coordinates of the past trajectory by a certain shift amount based on the past trajectory and the position of the current trajectory, and converts the shifted three-dimensional coordinates in the frame image by perspective projection conversion or the like. By converting to two-dimensional coordinates, a more accurate past trajectory can be added to the video.

  Note that the video object trajectory adding means 30 of the trajectory-added video generation device 1 is realized by causing a general computer to execute a program (video object trajectory adding program) and operating a computing device or a storage device in the computer. Can do.

[Operation of locus added video generation device]
Next, with reference to FIGS. 4 and 5 (refer to FIG. 1 as appropriate), the operation of the trajectory-added video generation device 1 according to the present invention will be described. FIG. 4 shows a trajectory-added video in which the trajectory-added video generation apparatus according to the present invention extracts the position of a subject from a frame image and adds a current trajectory image indicating a current trajectory and a past trajectory image indicating a past trajectory to the frame image. It is the flowchart which showed the operation | movement which produces | generates. FIG. 5 is a flowchart showing an operation (video object extraction operation) in which the video object extraction means extracts the position of the video object from the frame image.

  First, the operation of the trajectory-added video generation device 1 will be described with reference to FIG. The trajectory-added video generation apparatus 1 detects the position of the video object from the frame image input from the outside by the video object extraction operation described later by the video object extraction means 10 (step S10). Then, the trajectory-added video generation device 1 determines whether the video object is extracted by the video object extraction operation by the video object extraction means 10 (step S11). If not extracted (No in step S11), the process directly proceeds to step S23. If it is extracted (Yes in step S11), the trajectory-added video generation device 1 stores the video object position information extracted in step S10 in the video object position information storage unit 31 of the video object trajectory adding unit 30. Is stored (step S12).

  Subsequently, the trajectory-added video generation apparatus 1 determines whether or not a command for synthesizing the past trajectory image to the frame image is input from the outside by the position information reading unit 321 of the trajectory image position setting unit 32 (step S13). Then, when a command for synthesizing the past trajectory image to the frame image is not input from the outside (No in step S13), the trajectory-added video generation device 1 uses the drawing unit 331 of the image compositing unit 33 to perform the video object. The position information of the current locus is read from the position information storage unit 31 (step S20), a current locus image is drawn at the position indicated by the position information read in step S20 (step S21), and the process proceeds to step S22.

  On the other hand, when a command for synthesizing past trajectory images is input (Yes in step S13), the position information reading unit 321 determines whether the trajectory number of the trajectory to be combined with the command is input (step S14).

(Track image position setting step)
If no trajectory number has been input (No in step S14), the trajectory-added video generation device 1 uses the position information reading unit 321 to store 1 of the video object of the current frame image from the video object position information storage unit 31. The position information of the track number indicating the previous track and the position information of the first video object of the current track are read (step S15), and the process proceeds to step S17. When the trajectory number is input (Yes in step S14), the trajectory-added video generation device 1 causes the position information reading unit 321 to detect the position corresponding to the input trajectory number from the video object position information storage unit 31. Information and position information of the first video object in the current locus are read (step S16). The trajectory-added video generation device 1 sets a position where the past trajectory image is synthesized in the current frame image based on the position information read in step S15 or step S16 by the additional position setting unit 322 (step S15). S17).

  Further, the locus-added video generation device 1 reads the position information of the current locus from the video object position information storage means 31 by the drawing unit 331 of the image composition means 33 (step S18).

(Image composition step)
Subsequently, the trajectory-added video generation apparatus 1 draws a past trajectory image at the position set in step S17 by the drawing unit 331, and draws a current trajectory image at the position indicated by the position information read in step S18. (Step S19). Furthermore, the trajectory-added video generation device 1 combines the image drawn in step S19 or step S21 with the current frame image by the combining unit 332 (step S22).

  Then, the trajectory-added video generation device 1 determines whether a new frame image is input from the outside by the video object extraction means 10 (step S23). When a new image is input (Yes in step S23), the process returns to step S10, and operations after the video object extraction operation for extracting a video object from the input frame image are performed. If no new frame image is input (No in step S23), the operation is terminated as it is.

[Video object extraction operation]
Next, referring to FIG. 5 (refer to FIG. 1 as appropriate), the trajectory-added video generation device 1 extracts a video object from an externally input frame image by the video object extraction means 10 (video object detection device). The object extraction operation (step S10 in FIG. 4) will be described.

  First, the trajectory-added video generation device 1 uses the search region setting unit 15 of the video object extraction unit 10 to generate a frame image (frame image to be extracted) immediately before the frame image input from the outside by the position prediction unit 14. Based on the predicted position calculated from the position of the video object in the previous frame image), a search area for the video object is set (step S40). When the predicted position is not calculated by the position predicting unit 14 for the video object of the frame image immediately before the frame image to be extracted, the trajectory-added video generation device 1 displays the entire area of the frame image, Alternatively, the specified area is set. Then, the trajectory-added video generation device 1 generates the difference image 1 and the difference image 2 by the object candidate image generation unit 11 and the frame image immediately before the frame image input from the outside (the frame image to be extracted). ) To generate an object candidate image for the search region set in step S40 (step S41).

  Further, the locus-added video generation device 1 attaches a label to a region that is a candidate video object by the labeling unit 121 of the object selection unit 12 (step S42). Then, the trajectory-added video generation apparatus 1 analyzes the position and the feature amount of the candidate video object corresponding to the label labeled in step S42 by the feature amount analysis unit 122 (step S43). Subsequently, the trajectory-added video generation device 1 uses the filter processing unit 123 to extract a video object to be extracted from the video object candidates corresponding to the label labeled in step S42 based on the feature amount analyzed in step S43. Filter processing for narrowing down is performed (step S44). Here, the filter processing unit 123 determines whether the feature amount of each video object candidate matches the extraction condition indicated by the extraction condition information 131 stored in the extraction condition storage unit 13. Process.

  Furthermore, the trajectory-added video generation apparatus 1 determines whether there is a video object that satisfies the extraction condition in the filter processing performed in step S44 by the filter processing unit 123 (step S45). If there is no video object that satisfies the extraction condition (Yes in step S45), the trajectory-added video generation device 1 uses the filter processing unit 123 to indicate that there is no video object to be extracted in this frame image. Judgment is made and the operation is finished as it is. If there is a video object that matches the extraction condition (No in step S45), the trajectory-added video generation device 1 uses the object selection unit 124 to perform the filtering process in step S44 and that matches the extraction condition. A video object to be extracted is selected from the list (step S46). Here, the object selection unit 124 selects the highest predicted position calculated from the position of the video object of the frame image immediately before the frame image to be extracted by the position prediction unit 14 among the video objects that meet the extraction condition. A near video object is selected as a video object to be extracted.

  The trajectory-added video generation apparatus 1 adds an ID number to the position information indicating the position of the video object selected in step S46 by the ID number adding unit 16 (step S47). Further, the trajectory-added video generation apparatus 1 calculates the predicted position of the video object in the next frame image based on the position of the video object selected in step 45 by the position prediction unit 14 (step S48), and ends the operation. To do. The predicted position calculated here is determined by the search area setting means 15 when the search area is set in the next frame image to be extracted (step S40) and by the object selection section 124 of the object selection means 12. This is used when a video object is selected in the next frame image to be extracted (step S46).

It is the block diagram which showed the structure of the locus | trajectory addition image | video production | generation apparatus provided with the image | video object locus | trajectory addition means in this invention. Explanatory drawing for demonstrating the example of the positional information memorize | stored in the video object positional information storage means of the locus | trajectory addition image generation apparatus in this invention, (a) is the case where the positional information on the image object of one locus | trajectory is input FIG. 5B shows an example of position information stored in the video object position information storage means. FIG. 5B shows position information stored in the video object position information storage means when the position information of the video object of two trajectories is input. It is an example. Explanatory drawing for demonstrating the example of the method of setting the position of a past locus | trajectory image by the additional position setting part of the locus | trajectory additional image generation apparatus in this invention, (a) is the past locus | trajectory read by the position information reading part. FIG. 6B is a schematic diagram schematically showing the position indicated by the position information of the video object and the position information of the first video object in the current trajectory. FIG. 5B shows the position of the past trajectory image set by the additional position setting unit. It is the schematic diagram shown typically. An operation for generating a trajectory-added video in which a trajectory-added video generation apparatus according to the present invention extracts a position of a subject from a frame image and adds a current trajectory image indicating a current trajectory and a past trajectory image indicating a past trajectory to the frame image. It is the flowchart which showed. It is the flowchart which showed the operation | movement (video object extraction operation | movement) in which the video object extraction means of the locus | trajectory addition video generation apparatus in this invention extracts the position of a video object from a frame image.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Trajectory addition video generation apparatus 10 Video object extraction means (video object detection apparatus)
20 video delay means 30 video object trajectory adding means (video object trajectory adding apparatus)
31 Video object position information storage means (video object position information storage device)
32 Trajectory image position setting means 33 Image composition means

Claims (2)

Position information indicating the position of the video object in the frame image is input from a video object detection device that detects the position of the video object in the frame image input in time series, and a plurality of the time-series input A video object trajectory adding apparatus for adding a trajectory image indicating a trajectory of the video object continuously included in a frame image to another frame image captured from a position where the frame image is captured,
Video object for storing past trajectory position information, which is input from the video object detection device, that is position information of the video object continuously included in the plurality of frame images, in association with trajectory information for specifying the trajectory Position information storage means;
The past trajectory position information corresponding to the arbitrary trajectory information is read out from the video object position information storage means, and the video object position information of the other frame image or the position information of the trajectory of the video object is used. A trajectory image position setting unit that sets a shift amount for shifting the position indicated by the past trajectory position information and sets a past trajectory position obtained by shifting the position indicated by the past trajectory position information by the shift amount;
An image object trajectory adding apparatus, comprising: an image compositing means for compositing the trajectory image with a past trajectory position of the other frame image set by the trajectory image position setting means. The position information of the video object that is continuously included in a plurality of frame images input in time series, detected by a video object detection device that detects the position of the video object in a frame image input in time series. The past trajectory position information is read out from the video object position information storage device that stores the past trajectory position information in correspondence with the trajectory information that specifies the trajectory of the video object, and the trajectory image indicating the trajectory is represented by the frame image. The computer to add to other frame images taken from the location where it was taken,
The past trajectory position information corresponding to the arbitrary trajectory information is read from the video object position information storage device, and the video object position information of the other frame image or the position information of the trajectory of the video object is used. A trajectory image position setting means for setting a shift amount for shifting the position indicated by the past trajectory position information, and for setting a past trajectory position obtained by shifting the position indicated by the past trajectory position information by the shift amount;
A video object trajectory addition program which causes an image composition means for compositing the trajectory image to a past trajectory position of the other frame image set by the trajectory image position setting means.

Images