A New Tracking Algorithm Based on Mean Shift and Frame Difference

Yu Gusheng, Liu Zong-ang, Pan Diansheng, Zhu Yifu, Zhang Bin
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引用次数: 1

Abstract

This article has presented a new tracking algorithm for fast moving target based Mean shift algorithm and frame difference. The new algorithm improve the effect of Mean shift algorithm. We use the Mean shift algorithm to realize precise tracking after extracted target motion area by Frame difference method. The simulation results show the new algorithm can tracking the fast target effectively, and solve the problem of the tracking error accumulation satisfactorily in the tracking process.
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一种基于均值移位和帧差的跟踪算法
本文提出了一种基于Mean shift算法和帧差的快速运动目标跟踪算法。新算法改进了Mean shift算法的效果。利用帧差法提取目标运动区域后,采用Mean shift算法实现精确跟踪。仿真结果表明,新算法能有效地跟踪快速目标,较好地解决了跟踪过程中跟踪误差积累的问题。
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