Abstract
In this paper, we propose a panorama-based object tracking scheme for wide-view surveillance systems that can detect and track moving objects with a pan-tilt camera. A dynamic mosaic of the background is progressively integrated in a single image using the camera motion information. For the camera motion estimation, we calculate affine motion parameters for each frame sequentially with respect to its previous frame. The camera motion is robustly estimated on the background by discriminating between background and foreground regions. The modified block-based motion estimation is used to separate the background region. Each moving object is segmented by image subtraction from the mosaic background. The proposed tracking system has demonstrated good performance for several test video sequences.
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References
Gould, K., Shah, M.: The Trajectory Primal Sketch: A Multi-Scale Scheme for Representing Motion Characteristics. In: IEEE Conf. of CVPR, pp. 79–85 (1989)
Rouke, O.: Badler: Model-based Image Analysis of Human Motion using Constraint Propagation. IEEE Trans. on PAMI 3(4), 522–537 (1980)
Lee, K.W., Kim, Y.H., Jeon, J., Park, K.T.: An Algorithm of Moving Object Extraction Under Visual Tracking without Camera Calibration. In: Proceedings of ICEIC, pp. 151–154 (1995)
Lipton, A.J., Fujiyoshi, H., Patil, R.S.: Moving target classification and tracking from real time video. In: IEEE Workshop on Applications of Computer Vision, pp. 8–14 (1998)
Ye, Y., Tsotsos, J.K., Bennet, K., Harley, E.: Tracking a person with prerecorded image database and a pan, tilt, and zoom camera. In: Proc. IEEE Workshop on Visual Surveillance, pp. 10–17 (1998)
Hat, S., Saptharishi, M., Khosla, P.K.: Motion detection and segmentation using image mosaics. In: Proc. IEEE Int. Conf. Multimedia and Expo., pp. 1577–1580 (2000)
Szeliski, R., Shum, H.: Creating full view panoramic image mosaics and environment maps. In: Computer Graphics Proceedings, pp. 251–258 (1997)
Irani, M., Anandan, P., Bergen, J., Kumar, R., Hsu, S.: Mosaic Representation of video sequences and their applications. Signal Processing: Image Commnunication, special issue on Image and Video Semantics: Processing, Analysis, and Application 8(4), 673–676 (1996)
Jung, Y.K., Ho, Y.S.: Robust Vehicle Detection and Tracking for Traffic Surveillance. In: Picture Coding Symposium, pp. 227–230 (1999)
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© 2004 Springer-Verlag Berlin Heidelberg
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Jung, YK., Lee, KW., Woo, DM., Ho, YS. (2004). Automatic Video Object Tracking Using a Mosaic-Based Background. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30542-2_107
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DOI: https://doi.org/10.1007/978-3-540-30542-2_107
Publisher Name: Springer, Berlin, Heidelberg
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