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作者:

Li Hongyan (Li Hongyan.) | Mao Zheng (Mao Zheng.)

收录:

CPCI-S EI Scopus

摘要:

The key and difficult point for video targets tracking is how to quickly and accurately match the targets. This paper presents a kind of moving targets tracking method based on multi-mode fusion, in order to solve the tracking algorithm of single mode can't track the targets accurately under the complex background. This algorithm is implemented with three basic patterns including Normalized Cross Correlation (for short, NCC), MeanShift and Kalman filter, together with the Minimum root-mean-square error criterion. Computer simulation results show that the fused algorithm tracks very well under the complex background and it has the robust performance of approach.

关键词:

Kalman filter MeanShift multi-mode fusion NCC

作者机构:

  • [ 1 ] [Li Hongyan]Beijing Univ Technol, Coll Elect & Control Engn, Beijing, Peoples R China
  • [ 2 ] [Mao Zheng]Beijing Univ Technol, Coll Elect & Control Engn, Beijing, Peoples R China

通讯作者信息:

  • [Li Hongyan]Beijing Univ Technol, Coll Elect & Control Engn, Beijing, Peoples R China

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来源 :

2013 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2013)

年份: 2013

页码: 598-601

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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