Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 11
3500-3503,3511

Visual target tracking method using multi feature chaotic particle filter

Ma Yuanyuan
Dang Zhengyang
Zhang Hengru
School of Computer Science, Southwest Petroleum University, Chengdu 610500, China
DOI: 10.19734/j.issn.1001-3695.2019.06.0244

Abstract

With the increasing of camera terminals and demand for automatic video analysis, traditional visual target tracking methods have been difficult to obtain robustness, accuracy and stability to target tracking, when there are interference factors such as occlusion, illumination changes and motion blur in the video sequence. Aiming at the series of problems, this paper proposed a visual target tracking method based on multi-feature chaotic particle filtering. Firstly, this method carried out chaotic modeling based on nonlinear dynamics prediction, and used the gradient optimization function of chaotic map to search the state space to find the reference trajectory. Then this paper designed a chaotic particle filter for visual tracking and improved the sports appearance model, introduced features of color, texture and depth to improve the performance of the filter. Finally, it applied the multi-feature chaotic particle filter and other visual target tracking methods to the VOT17 dataset and TB dataset to demonstrate the accuracy of the proposed method. The results show that the multi-feature chaotic particle filtering method significantly reduces the number of particles, search space and filter divergence, and its accuracy is about 10% higher than other methods. It is superior to other methods in the case of sudden motion, occlusion and motion blur.

Foundation Support

国家自然科学基金资助项目(41604114)
四川省自然科学基金资助项目(2019YJ0314)
四川省青年科学创新组资助项目(2019JDTD0017)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.06.0244
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Technology of Graphic & Image
Pages: 3500-3503,3511
Serial Number: 1001-3695(2020)11-061-3500-04

Publish History

[2020-11-05] Printed Article

Cite This Article

马圆媛, 党正阳, 张恒汝. 利用多特征混沌粒子滤波的视觉目标跟踪方法 [J]. 计算机应用研究, 2020, 37 (11): 3500-3503,3511. (Ma Yuanyuan, Dang Zhengyang, Zhang Hengru. Visual target tracking method using multi feature chaotic particle filter [J]. Application Research of Computers, 2020, 37 (11): 3500-3503,3511. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    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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