Technology of Graphic & Image
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3180-3183

Similarity matching tracking method under weighted model

Liu Wanjun
Li Fang
School of Software, Liaoning Technical University, Huludao Liaoning 125105, China

Abstract

Focusing on the problem that the traditional tracking method is susceptible to occlusion of similar objects, this paper proposed a similarity matching tracking method which based on weighted model. According to weighted theory, it divided the target region into local feature blocks, assigned different weights to them, therefore it established the local weighted model of target. Then it used the target color and location characteristics to calculate the similarity between the test images and the target model. In order to avoid the interference of complex background, the method divided the foreground area before model matching, which could get more accurate matching results. Finally, it proposed a novel method of updating occlusion decision model, which ensured the robustness of the model matching by judging the serious occlusion of the target. The experimental results show that the proposed method can achieve high tracking accuracy by using weighted model and multi-feature similarity matching. And the average center error(ACE) of this tracker is only 13.21. The overlap rate is 0.71.

Foundation Support

国家自然科学基金资助项目(61172144)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.04.0166
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: Technology of Graphic & Image
Pages: 3180-3183
Serial Number: 1001-3695(2020)10-061-3180-04

Publish History

[2020-10-05] Printed Article

Cite This Article

刘万军, 李放. 加权模型下的相似匹配跟踪方法 [J]. 计算机应用研究, 2020, 37 (10): 3180-3183. (Liu Wanjun, Li Fang. Similarity matching tracking method under weighted model [J]. Application Research of Computers, 2020, 37 (10): 3180-3183. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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