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适用于遮挡问题的多车辆跟踪算法 被引量:1

Multiple Vehicles Tracking Algorithm Applied to Occlusion Issue
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摘要 针对多车辆跟踪中的遮挡问题,提出一种新的基于特征相关匹配的车辆跟踪算法。对前一帧和当前帧中获得的运动区域分别给予"车辆区域"和"临时区域"两种不同身份,采用"三点外推法"估计车辆区域在当前帧中位置,并通过计算到当前帧临时区域的距离以确定匹配区域,实现车辆跟踪。同时根据给各区域设置的状态因子判断车辆状态,结合基于追踪窗口的分割方法,较好地解决了车辆遮挡问题。实验结果表明,该算法简单有效,能较好解决跟踪中遮挡造成的车辆丢失问题,进行准确的目标跟踪。 In the light of the occlusion in the tracking of multiple vehicles,the article puts forward a new multi-object tracking algorithm based on feature correlation matching.The moving area that was extracted in current frame and in previous frame is respectively given different identity "vehicle region" and "temporary region".The position of vehicles region in current frame can be forecast by using three points extrapolation,the distance between which and temporary region can be calculated and used to match current motion regions and track vehicles.In the meantime,the paper estimates states of vehicles depending on the state factors,and combines them with tracking windows based on segmentation method to solve vehicle tracking problem under occlusion efficiently.Experimental results indicate that the proposed algorithm can trace and forecast the vehicles which hided,and can accurately track object effectively.
出处 《计算机系统应用》 2011年第5期96-100,139,共6页 Computer Systems & Applications
基金 安徽省教育厅自然科学基金(KJ2008B123 KJ2009B011)
关键词 车辆跟踪 遮挡 特征匹配 图像分割 vehicles tracking occlusion feature matching image segmentation
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