| Long-term adaptive tracking via complementary trackers |
| W.C.Dai; L.X.Jin; G.N.Li
|
| 2019
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| 发表期刊 | Iet Image Processing
(IF:1.995[JCR-2019],1.943[5-Year]) |
| 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
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| DOI | 10.1049/iet-ipr.2018.6142
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| URL | 查看原文
|
| 收录类别 | SCI
; EI
|
| 语种 | 英语
|
| 引用统计 | 无
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| 文献类型 | 期刊论文
|
| 条目标识符 | http://ir.ciomp.ac.cn/handle/181722/63425
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| 专题 | 中国科学院长春光学精密机械与物理研究所
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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.
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| 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.
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| 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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