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Video surveillance system with trajectory hypothesis scoring based on at least one non-spatial parameter
Video surveillance system with trajectory hypothesis scoring based on at least one non-spatial parameter
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机译:具有基于至少一个非空间参数的轨迹假设评分的视频监控系统
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摘要
A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.
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