Long-term adaptive tracking via complementary trackers

doi:10.1049/iet-ipr.2018.6142

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	Long-term adaptive tracking via complementary trackers
	W.C.Dai; L.X.Jin; G.N.Li
	2019
发表期刊	Iet Image Processing
ISSN	1751-9659
卷号	13 期号:9 页码:1569-1577
摘要	In recent years, kernelised correlation filter-based trackers have been employed to manage short-term tracking problems and help long-term trackers achieve excellent accuracy and robustness under challenging conditions, such as geometry/photometry changes, heavy occlusion, fast motion, motion blur, and out-of-camera view. Nonetheless, the inherent boundary effects and risky update strategy of correlation filters constrain the performance of short-term tracking, which limits the performance of long-term trackers. Moreover, the complicated redetection module leads to high-computational cost, which results in the long-term trackers to run at a low speed, thereby significantly restricting their applications. In the present work, the authors propose to employ complementary trackers in designing an efficient long-term tracker. Furthermore, a sigmoid penalty coefficient is proposed to update the tracking model with an adaptive learning rate that adjusts the learning rate while the target encounters appearance variation. Finally, they propose a novel redetection method that combines a redetection classifier with a short-term component to redetect the target while satisfying the explicit condition. The long-term tracker proposed in this study is proven to perform real-time speed of more than 65 frames per second and state-of-the-art accuracy by the experimental result on several challenging benchmarks.
关键词	adaptive filters,correlation methods,tracking filters,kernelised,correlation filter-based trackers,short-term tracking problems,complementary trackers
DOI	10.1049/iet-ipr.2018.6142
URL	查看原文
收录类别	SCI ; EI
语种	英语
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/63425
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	W.C.Dai,L.X.Jin,G.N.Li. Long-term adaptive tracking via complementary trackers[J]. Iet Image Processing,2019,13(9):1569-1577.
APA	W.C.Dai,L.X.Jin,&G.N.Li.(2019).Long-term adaptive tracking via complementary trackers.Iet Image Processing,13(9),1569-1577.
MLA	W.C.Dai,et al."Long-term adaptive tracking via complementary trackers".Iet Image Processing 13.9(2019):1569-1577.

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