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Detection of human actions from video data
Detection of human actions from video data
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机译：根据视频数据检测人为行为
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摘要
A video action detection system uses feature a data extractor to extract feature data from video data at detected spatiotemporal interest points. A feature data quantizer assigns the extracted feature values to bins of a feature vector. Bin values are computed from a sum of contributions of spatiotemporal points of interest that have been assigned to the bin, with a bin dependent adjustment of a size of the sum and/or the contributions. The video action detection system computes a sum of match scores between the feature vector and reference vectors for the predetermined type of action. The bin dependent adjustment of the size of the sum and/or the contributions is adapted in a training step, based on partial match scores for individual bins obtained using an initial action detector.
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