Choudhary et al., 2017 - Google Patents
Real-time crowd behavior detection using SIFT feature extraction technique in video sequencesChoudhary et al., 2017
- Document ID
- 18213998893335378407
- Author
- Choudhary S
- Ojha N
- Singh V
- Publication year
- Publication venue
- 2017 International Conference on Intelligent Computing and Control Systems (ICICCS)
External Links
Snippet
These days Crowd behavior detection in video surveillance is a latest research area in the field of computer vision. It focuses on the demanding assignment of monitoring crowded events for outbreaks of violent behavior. Such scenes have a need of human assessor to …
- 238000001514 detection method 0 title abstract description 45
Classifications
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
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- 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
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- 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
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- G06F17/30811—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 using motion, e.g. object motion, camera motion
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