Robust scale adaptive tracking by combining correlation filters with sequential Monte Carlo

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	Robust scale adaptive tracking by combining correlation filters with sequential Monte Carlo
	Ma JK(马俊凯); Luo HB(罗海波); Hui B(惠斌); Chang Z(常铮)
刊名	SENSORS
	2017
卷号	17 期号:3 页码:1-16
关键词	Target Tracking Sequential Monte Carlo Framework Correlation Filter Scale Estimation Occlusion
ISSN号	1424-8220
产权排序	1
英文摘要	A robust and efficient object tracking algorithm is required in a variety of computer vision applications. Although various modern trackers have impressive performance, some challenges such as occlusion and target scale variation are still intractable, especially in the complex scenarios. This paper proposes a robust scale adaptive tracking algorithm to predict target scale by a sequential Monte Carlo method and determine the target location by the correlation filter simultaneously. By analyzing the response map of the target region, the completeness of the target can be measured by the peak-to-sidelobe rate (PSR), i.e., the lower the PSR, the more likely the target is being occluded. A strict template update strategy is designed to accommodate the appearance change and avoid template corruption. If the occlusion occurs, a retained scheme is allowed and the tracker refrains from drifting away. Additionally, the feature integration is incorporated to guarantee the robustness of the proposed approach. The experimental results show that our method outperforms other state-of-the-art trackers in terms of both the distance precision and overlap precision on the publicly available TB-50 dataset.
WOS关键词	VISUAL TRACKING ; OBJECT TRACKING ; APPEARANCE MODEL
WOS研究方向	Chemistry ; Electrochemistry ; Instruments & Instrumentation
语种	英语
WOS记录号	WOS:000398818700085
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/20207]
专题	沈阳自动化研究所_光电信息技术研究室
通讯作者	Ma JK(马俊凯)
作者单位	1.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式 GB/T 7714	Ma JK,Luo HB,Hui B,et al. Robust scale adaptive tracking by combining correlation filters with sequential Monte Carlo[J]. SENSORS,2017,17(3):1-16.
APA	Ma JK,Luo HB,Hui B,&Chang Z.(2017).Robust scale adaptive tracking by combining correlation filters with sequential Monte Carlo.SENSORS,17(3),1-16.
MLA	Ma JK,et al."Robust scale adaptive tracking by combining correlation filters with sequential Monte Carlo".SENSORS 17.3(2017):1-16.