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Method and system for cluster-based video monitoring and event categorization

机译:基于集群的视频监控和事件分类的方法和系统

摘要

A computing system obtains a respective motion vector for each of a series of motion event candidates in real-time as said each motion event candidate is detected in a live video stream. In response to receiving the respective motion vector for each of the series of motion event candidates, the computing system determines a spatial relationship between the respective motion vector of said each motion event candidate to one or more existing clusters established based on a plurality of previously processed motion vectors, and in accordance with a determination that the respective motion vector of a first motion event candidate of the series of motion event candidates falls within a respective range of at least a first existing cluster of the one or more existing clusters, assigns the first motion event candidate to at least a first event category associated with the first existing cluster.
机译:当在实况视频流中检测到所述每个运动事件候选者时,计算系统实时获得针对一系列运动事件候选者中的每一个的相应运动向量。响应于接收到一系列运动事件候选者中的每一个的相应运动向量,计算系统确定所述每个运动事件候选者的相应运动向量与基于多个先前处理的建立的一个或多个现有簇之间的空间关系。运动向量,并根据确定为一系列运动事件候选者中的第一运动事件候选者的各自运动向量落入一个或多个现有簇中至少一个第一现有簇的各自范围内,分配第一运动事件候选者至少是与第一现有集群相关联的第一事件类别。

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