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Author:

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

Indexed by:

CPCI-S EI Scopus

Abstract:

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.

Keyword:

MeanShift NCC multi-mode fusion Kalman filter

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

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

Year: 2013

Page: 598-601

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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