Benabbas et al., 2010 - Google Patents
Motion pattern extraction and event detection for automatic visual surveillanceBenabbas et al., 2010
View PDF- Document ID
- 11809706262692307832
- Author
- Benabbas Y
- Ihaddadene N
- Djeraba C
- Publication year
- Publication venue
- EURASIP Journal on Image and Video Processing
External Links
Snippet
Efficient analysis of human behavior in video surveillance scenes is a very challenging problem. Most traditional approaches fail when applied in real conditions and contexts like amounts of persons, appearance ambiguity, and occlusion. In this work, we propose to deal …
- 238000001514 detection method 0 title abstract description 39
Classifications
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- 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
- G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
- G06K9/00778—Recognition or static of dynamic crowd images, e.g. recognition of crowd congestion
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- 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
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00711—Recognising video content, e.g. extracting audiovisual features from movies, extracting representative key-frames, discriminating news vs. sport content
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