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Object Tracking in Video-Surveillance

机译:视频监控中的对象跟踪

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摘要

This paper faces the automatic object tracking problem in a video-surveillance task. A previouslyselected and then identified target has to be retrieved in the scene under investigation because it is lost due tomasking, occlusions, or quick and unexpected movements. A two-step procedure is used, firstly motion detec-tion is used to determine a candidate target in the scene, secondly using a semantic categorization and ContentBased Image Retrieval techniques, the candidate target is identified whether it is the one that was lost or not.The use of Content Based Image Retrieval serves as support to the search problem and is performed using areference data base which was populated a priori.
机译:本文面临视频监控任务中的自动对象跟踪问题。必须先在被调查的场景中检索先前选择的然后确定的目标,因为目标由于遮罩,遮挡或快速和意外移动而丢失。使用两步过程,首先使用运动检测确定场景中的候选目标,其次使用语义分类和ContentBased图像检索技术,确定候选目标是否是丢失的目标。基于内容的图像检索的使用为搜索问题提供了支持,并使用先验填充的参考数据库来执行。

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