Lam et al., 2021 - Google Patents
Real time detection of object blob localization application using 1-d connected pixel and windowing method on fpgaLam et al., 2021
View PDF- Document ID
- 17951057529427961265
- Author
- Lam C
- Ehkan P
- Raof R
- Jungjit S
- Publication year
- Publication venue
- Journal of Physics: Conference Series
External Links
Snippet
Blob detection and localization is a common process used in the machine vision. Current existing blob detection method is using 2-dimensional kernel matrix which is higher in time consumption and also memory space. This study has proposed a dedicated digital …
- 238000001514 detection method 0 title abstract description 33
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
- G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20210049769A1 (en) | Vibe-based three-dimensional sonar point cloud image segmentation method | |
WO2012096768A2 (en) | Method of detecting logos, titles, or sub-titles in video frames | |
CN107578053B (en) | Contour extraction method and device, computer device and readable storage medium | |
Sun et al. | Fast motion object detection algorithm using complementary depth image on an RGB-D camera | |
Humaidi et al. | FPGA-based lane-detection architecture for autonomous vehicles: A real-time design and development | |
Sajjanar et al. | Implementation of real time moving object detection and tracking on FPGA for video surveillance applications | |
CN104537622A (en) | Method and system for removing raindrop influence in single image | |
Meus et al. | Embedded vision system for pedestrian detection based on HOG+ SVM and use of motion information implemented in Zynq heterogeneous device | |
Kuo et al. | VLSI implementation for an adaptive haze removal method | |
Kowalczyk et al. | Real-time FPGA implementation of parallel connected component labelling for a 4K video stream | |
Chan et al. | On the hardware/software design and implementation of a high definition multiview video surveillance system | |
Kryjak et al. | Real-time implementation of foreground object detection from a moving camera using the vibe algorithm | |
Lam et al. | Real time detection of object blob localization application using 1-d connected pixel and windowing method on fpga | |
Singh et al. | Online traffic density estimation and vehicle classification management system | |
Pohl et al. | An efficient FPGA-based hardware framework for natural feature extraction and related computer vision tasks | |
Hiraiwa et al. | An FPGA based embedded vision system for real-time motion segmentation | |
Sims et al. | An FPGA implementation of pattern-selective pyramidal image fusion | |
Adiono et al. | Parallel morphological template matching design for efficient human detection application | |
Oliveira et al. | FPGA architecture for static background subtraction in real time | |
Pandey et al. | Implementation of 5-block convolutional neural network (cnn) for saliency improvement on flying object detection in videos | |
Aguirre-Dobernack et al. | Implementation of a machine vision system for real-time traffic sign recognition on FPGA | |
CN112967321A (en) | Moving object detection method and device, terminal equipment and storage medium | |
CN109740441B (en) | Target detection method and device based on image recognition and terminal equipment | |
CN114821075A (en) | Space target capturing method and device, terminal equipment and storage medium | |
Hsiao et al. | Hardware efficient implementation of histograms of oriented gradients for pedestrian detection |