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Method of the object pursuit in the video sequence

机译:视频序列中的目标跟踪方法

摘要

A video surveillance system (10) comprises a camera (25), a personal computer (PC) (27) and a video monitor (29). Video processing software is provided on the hard disk drive of the PC (27). The software is arranged to perform a number of processing operations on video data received from the camera, the video data representing individual frames of captured video. In particular, the software is arranged to identify one or more foreground blobs in a current frame, to match the or each blob with an object identified in one or more previous frames, and to track the motion of the or each object as more frames are received. In order to maintain the identity of objects during an occlusion event, an appearance model is generated for blobs that are close to one another in terms of image position. Once occlusion takes place, the respective appearance models are used, in combination with a depth factor representing the depth order of the occluded objects, to segment the resulting group blob into regions which are classified as representing one or other of the merged objects.
机译:视频监视系统(10)包括照相机(25),个人计算机(PC)(27)和视频监视器(29)。 PC(27)的硬盘驱动器上提供了视频处理软件。该软件被布置为对从照相机接收的视频数据执行许多处理操作,该视频数据代表捕获的视频的各个帧。特别地,该软件被布置为识别当前帧中的一个或多个前景斑点,以使该斑点或每个斑点与在一个或多个先前帧中识别的对象匹配,并且随着更多的帧被追踪到该或每个对象的运动。收到。为了在遮挡事件期间保持对象的身份,针对在图像位置方面彼此接近的斑点生成外观模型。一旦发生遮挡,就将各个外观模型与代表遮挡对象深度顺序的深度因子结合使用,以将生成的组对象划分为多个区域,这些区域被分类为代表一个或另一个合并对象。

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