Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 8
2521-2525

Research on tracking algorithm of feature fusion and relocation convolution operator

Li Guoyou
Hang Bingpeng
Yang Mengqi
Li Chenguang
Wang Weijiang
Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao Hebei 066004, China
DOI: 10.19734/j.issn.1001-3695.2020.09.0397

Abstract

Aiming at the problem of efficient convolution operators based tracking algorithm fusing the histogram of oriented gradient and color names features(ECO-HC) in the occlusion, background and other interference problems leading to the reduction of tracking accuracy, this paper proposed an adaptive feature fusion convolution correlation filter algorithm, which combined the CN feature and the HOG feature by weighted fusion, determined the weight of each feature in the next frame by calculating the respective response, and gave full play to the advantages of each feature. In addition, for the problem of target tracking failure, this paper proposed using the principle of deformation similarity diversity to construct a target relocation mo-dule. When complex conditions such as occlusion and rapid movement cause the reliability of tracking to be reduced, consi-dering the target response score, spatial weight score and deformation are comprehensively to determine the final position of the target and achieve relocation. Experiments show that compared with ECO-HC, tracking accuracy of the improved algorithm is more effective for target occlusion, background interference and other complex situations, and it is more robust.

Foundation Support

河北省高等学校科学技术研究青年基金项目(2011139)
河北省自然科学基金项目(F2012203111)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.09.0397
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Technology of Graphic & Image
Pages: 2521-2525
Serial Number: 1001-3695(2021)08-051-2521-05

Publish History

[2021-08-05] Printed Article

Cite This Article

李国友, 杭丙鹏, 杨梦琪, 等. 特征融合与重定位卷积算子跟踪算法研究 [J]. 计算机应用研究, 2021, 38 (8): 2521-2525. (Li Guoyou, Hang Bingpeng, Yang Mengqi, et al. Research on tracking algorithm of feature fusion and relocation convolution operator [J]. Application Research of Computers, 2021, 38 (8): 2521-2525. )

About the Journal

  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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