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Patch based frame work for occlusion detection in multi human tracking

机译:基于补丁的框架用于多人跟踪中的遮挡检测

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Nowadays video surveillance system becomes popular to ensure security at major areas. Current video surveillance system analyzes the tracking of multiple human in a video. The problem of detecting moving targets in crowded scenes is one of the most challenging topics in such systems. Occlusion is said to be one object hides another during multiple human tracking in a series of frames or in one frame. Occlusion detection and handling is an important phase for such systems. The main objective of the proposed work is to detect occlusion. In the proposed work, patches in each object are used to identify the parts which are going to be occluded. This system can identify the occlusion between humans in a scene and can identify the occluded parts of each object. Our ultimate goal is to develop a surveillance system that is free from occlusion.
机译:如今,视频监视系统变得越来越流行,以确保主要区域的安全。当前的视频监视系统分析视频中多个人的跟踪。在拥挤的场景中检测运动目标的问题是此类系统中最具挑战性的主题之一。所谓遮挡是指在一系列帧或一个帧中进行多次人类跟踪时,一个对象隐藏了另一个对象。遮挡检测和处理是此类系统的重要阶段。拟议工作的主要目的是检测阻塞。在提议的工作中,每个对象中的补丁用于标识将要遮挡的部分。该系统可以识别场景中人与人之间的遮挡,并且可以识别每个对象的遮挡部分。我们的最终目标是开发一种无遮挡的监视系统。

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