T-S tracking algorithm based on context auxiliary feature

doi:10.3788/OPE.20182608.2122

CIOMP OpenIR

	T-S tracking algorithm based on context auxiliary feature
	Song, Ce; Zhang, Bao; Song, Yu-Long; Qian, Feng
	2018
发表期刊	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
ISSN	1004924X
卷号	26 期号:8 页码:2122-2131
摘要	Occlusion and objects with the same appearance as the target (known as distractors) are extremely challenging in the tracking domain, and distractors appearing around the target during occlusion tend to cause tracking distractors. To resolve this problem, improving the tracking performance under conditions of serious occlusions and distractor by exploiting the context auxiliary feature was proposed. First, the context strength feature and distractors around the target were detected. Second, a dynamic model that can describe the movements of context strength feature and target well and the constraint of distractor were built. Finally, the dynamic model of context strength feature and target were described in particle filter, and the T-S tracking algorithm was proposed. Using a challenging test video from the SPEVI and OTB100 datasets, the proposed algorithm was compared with other six highly ranked tracking algorithms. Two types of evaluation were adopted during testing. The experimental results demonstrate that the error pixel is 24 pixel and 8 pixel when T-S algorithm tracking multifaces and infrared car from SPEVI datasheet, when tracking eight testing videos from OTB100 dataset, the success rate of T-S algorithm is 0.51 when overlap threshold is 0.5 and surpass other compared algorithm. Our proposed T-S algorithm performs well when tracking targets under conditions of serious occlusions and distractors. 2018, Science Press. All right reserved.
关键词	Target tracking Dynamic models Monte Carlo methods Passive filters Pixels Statistical tests
DOI	10.3788/OPE.20182608.2122
收录类别	EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/60846
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Song, Ce,Zhang, Bao,Song, Yu-Long,et al. T-S tracking algorithm based on context auxiliary feature[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2018,26(8):2122-2131.
APA	Song, Ce,Zhang, Bao,Song, Yu-Long,&Qian, Feng.(2018).T-S tracking algorithm based on context auxiliary feature.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,26(8),2122-2131.
MLA	Song, Ce,et al."T-S tracking algorithm based on context auxiliary feature".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 26.8(2018):2122-2131.

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