Visual Tracking Via Temporally-Regularized Context-Aware Correlation Filters
文献类型：会议论文
| 作者 | Liao, Jiawen1 ; Qi, Chun2; Cao, Jianzhong1; Bian, He1
|
| 出版日期 | 2020-10 |
| 会议日期 | 2020-09-25 |
| 会议地点 | Virtual, Abu Dhabi, United arab emirates |
| 关键词 | Correlation filter Real-time Context tracking ADMM |
| 卷号 | 2020-October |
| DOI | 10.1109/ICIP40778.2020.9191027 |
| 页码 | 2051-2055 |
| 英文摘要 | Classical discriminative correlation filter (DCF) model suffers from boundary effects, several modified discriminative correlation filter models have been proposed to mitigate this drawback using enlarged search region, and remarkable performance improvement has been reported by related papers. However, model deterioration is still not well addressed when facing occlusion and other challenging scenarios. In this work, we propose a novel Temporally-regularized Context-aware Correlation Filters (TCCF) model to model the target appearance more robustly. We take advantage of the enlarged search region to obtain more negative samples to make the filter sufficiently trained, and a temporal regularizer, which restricting variation in filter models between frames, is seamlessly integrated into the original formulation. Our model is derived from the new discriminative learning loss formulation, a closed form solution for multidimensional features is provided, which is solved efficiently using Alternating Direction Method of Multipliers (ADMM). Extensive experiments on standard OTB-2015, TempleColor-128 and VOT-2016 benchmarks show that the proposed approach performs favorably against many state-of-the-art methods with real-time performance of 28fps on single CPU. © 2020 IEEE. |
| 产权排序 | 1 |
| 会议录 | 2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
 |
| 会议录出版者 | IEEE Computer Society |
| 语种 | 英语 |
| ISSN号 | 15224880 |
| ISBN号 | 9781728163956 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/94232]  |
| 专题 | 西安光学精密机械研究所_动态光学成像研究室 |
| 作者单位 | 1.Xi'an Institute of Optics and Precision Mechanics, Xi'an, China; 2.Xi'an Jiaotong University, School of Electronics and Information Engineering, Xi'an, China |
| 推荐引用方式 GB/T 7714 | Liao, Jiawen,Qi, Chun,Cao, Jianzhong,et al. Visual Tracking Via Temporally-Regularized Context-Aware Correlation Filters[C]. 见:. Virtual, Abu Dhabi, United arab emirates. 2020-09-25. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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