Adaptive visual multi-object tracker based on multi-bernoulli filter and region feature covariance | |
Zhang, Guangnan1,2; Yang, Jinlong3; Wang, Weixing1; Qiu, S.H.I.4; Tang, Y.U.3 | |
刊名 | International Journal of Innovative Computing, Information and Control |
2019-06 | |
卷号 | 15期号:3页码:1131-1143 |
ISSN号 | 13494198 |
DOI | 10.24507/ijicic.15.03.1131 |
产权排序 | 4 |
英文摘要 | Multi-Bernoulli (MB) filter has been demonstrated as a promising algorithm for tracking multiple point targets with unknown and time-varying number of targets. However, for the visual multi-object tracking (VMOT), the tracking accuracy will decrease severely due to the problems of closely-spaced object, occlusion and scale variation. To solve these problems, an adaptive VMOT algorithm based on the framework of the MB filter is proposed in this paper. First, the region feature covariance (RFC) is employed to enhance the ability of anti-interference, and then the discrimination strategy for the closely-spaced objects and the adaptive estimate strategy for scale variation are developed according to the constraints of tracking boxes. Finally, the particle labeling technique is introduced to identify the track of each target. Experimental results validate superior performance of the proposed algorithm over the traditional MB-based VMOT algorithm in scenarios that include occlusion, background clutter, scale changes, and closely-spaced objects. © 2019, ICIC International. All rights reserved. |
语种 | 英语 |
出版者 | ICIC International |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/31547] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
通讯作者 | Wang, Weixing |
作者单位 | 1.College of Information Engineering, Chang’an University Middle-section of Nan’er Huan Road, Xi’an; 710064, China; 2.School of Computer Science and Technology, Baoji University of Arts and Science, No. 44, Baoguang Road, Baoji; 721007, China; 3.School of Internet of Things Engineering, Jiangnan University, No. 1800, Lihu Avenue, Wuxi; 214122, China; 4.Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, No. 17, Xinxi Road, New Industrial Park, Xi’an; 710119, China |
推荐引用方式 GB/T 7714 | Zhang, Guangnan,Yang, Jinlong,Wang, Weixing,et al. Adaptive visual multi-object tracker based on multi-bernoulli filter and region feature covariance[J]. International Journal of Innovative Computing, Information and Control,2019,15(3):1131-1143. |
APA | Zhang, Guangnan,Yang, Jinlong,Wang, Weixing,Qiu, S.H.I.,&Tang, Y.U..(2019).Adaptive visual multi-object tracker based on multi-bernoulli filter and region feature covariance.International Journal of Innovative Computing, Information and Control,15(3),1131-1143. |
MLA | Zhang, Guangnan,et al."Adaptive visual multi-object tracker based on multi-bernoulli filter and region feature covariance".International Journal of Innovative Computing, Information and Control 15.3(2019):1131-1143. |
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