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Methods and systems of determining object status for false positive removal in object tracking for video analytics
Methods and systems of determining object status for false positive removal in object tracking for video analytics
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机译:确定用于视频分析的对象跟踪中的误报消除的对象状态的方法和系统
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摘要
Techniques and systems are provided for maintaining blob trackers for one or more video frames. For example, a blob tracker can be identified for a current video frame. The blob tracker is associated with a blob detected for the current video frame, and the blob includes pixels of at least a portion of one or more objects in the current video frame. One or more characteristics of the blob tracker are determined. The one or more characteristics are based on a bounding region history of the blob tracker. A confidence value is determined for the blob tracker based on the determined one or more characteristics, and a status of the blob tracker is determined based on the determined confidence value. The status of the blob tracker indicates whether to maintain the blob tracker for the one or more video frames. For example, the determined status can include a first type of blob tracker that is output as an identified blob tracker-blob pair, a second type of blob tracker that is maintained for further analysis, or a third type of blob tracker that is removed from a plurality of blob trackers maintained for the one or more video frames.
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