Long-term adaptive tracking via complementary trackers
文献类型：期刊论文
| 作者 | W.C.Dai; L.X.Jin; G.N.Li |
| 刊名 | Iet Image Processing
 |
| 出版日期 | 2019 |
| 卷号 | 13期号:9页码:1569-1577 |
| 关键词 | adaptive filters,correlation methods,tracking filters,kernelised,correlation filter-based trackers,short-term tracking problems,complementary trackers |
| ISSN号 | 1751-9659 |
| DOI | 10.1049/iet-ipr.2018.6142 |
| 英文摘要 | 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. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [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. |
入库方式： OAI收割
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。