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REASONING FROM SURVEILLANCE VIDEO VIA COMPUTER VISION-BASED MULTI-OBJECT TRACKING AND SPATIOTEMPORAL PROXIMITY GRAPHS
REASONING FROM SURVEILLANCE VIDEO VIA COMPUTER VISION-BASED MULTI-OBJECT TRACKING AND SPATIOTEMPORAL PROXIMITY GRAPHS
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机译:基于计算机视觉的多目标跟踪和时空邻近图的监控视频推理
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摘要
Methods, systems, and apparatuses, among other things, may detect and store activity in videos based on a spatiotemporal graph representation. Spatiotemporal proximity graphs may be built based on one or more received tracks and may include one or more nodes and each node may include one or more attributes associated with a corresponding entity. One or more spatiotemporal relationships may be identified between the entities based on each spatiotemporal proximity graph one or more activities of the entities may be identified based on the spatiotemporal relationships.
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