Knowledge Commons of Institute of Automation,CAS
Long-term Visual Tracking: Review and Experimental Comparison | |
Chang Liu1; Xiao-Fan Chen1; Chun-Juan Bo1,2; Dong Wang1 | |
发表期刊 | Machine Intelligence Research |
ISSN | 2731-538X |
2022 | |
卷号 | 19期号:6页码:512-530 |
摘要 | As a fundamental task in computer vision, visual object tracking has received much attention in recent years. Most studies focus on short-term visual tracking which addresses shorter videos and always-visible targets. However, long-term visual tracking is much closer to practical applications with more complicated challenges. There exists a longer duration such as minute-level or even hour-level in the long-term tracking task, and the task also needs to handle more frequent target disappearance and reappearance. In this paper, we provide a thorough review of long-term tracking, summarizing long-term tracking algorithms from two perspectives: framework architectures and utilization of intermediate tracking results. Then we provide a detailed description of existing benchmarks and corresponding evaluation protocols. Furthermore, we conduct extensive experiments and analyse the performance of trackers on six benchmarks: VOTLT2018, VOTLT2019 (2020/2021), OxUvA, LaSOT, TLP and the long-term subset of VTUAV-V. Finally, we dis- cuss the future prospects from multiple perspectives, including algorithm design and benchmark construction. To our knowledge, this is the first comprehensive survey f |
关键词 | Visual object tracking long-term tracking short-term tracking re-detection online update |
DOI | 10.1007/s11633-022-1344-1 |
七大方向——子方向分类 | 其他 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
中文导读 | https://mp.weixin.qq.com/s/RZ_WVkTTNmVeWP0_5G4CzQ |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/55959 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | 1.School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China 2.Dalian Minzu University, Dalian 116600, China |
推荐引用方式 GB/T 7714 | Chang Liu,Xiao-Fan Chen,Chun-Juan Bo,et al. Long-term Visual Tracking: Review and Experimental Comparison[J]. Machine Intelligence Research,2022,19(6):512-530. |
APA | Chang Liu,Xiao-Fan Chen,Chun-Juan Bo,&Dong Wang.(2022).Long-term Visual Tracking: Review and Experimental Comparison.Machine Intelligence Research,19(6),512-530. |
MLA | Chang Liu,et al."Long-term Visual Tracking: Review and Experimental Comparison".Machine Intelligence Research 19.6(2022):512-530. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
MIR-2022-01-032.pdf(7769KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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