Knowledge Commons of Institute of Automation,CAS
High-Performance Discriminative Tracking with Target-Aware Feature Embeddings | |
Yu, Bin1,2![]() ![]() ![]() ![]() ![]() ![]() | |
2021-10-22 | |
会议名称 | Chinese Conference on Pattern Recognition and Computer Vision (PRCV) |
会议日期 | 2021-12-19--2021-12-21 |
会议地点 | Zhuhai, Guangdong, China |
会议录编者/会议主办者 | CSIG ; CAAI ; CCF ; CAA |
出版地 | Switzerland |
出版者 | Springer |
摘要 | Discriminative model-based trackers have made remarkable progress recently. However, due to the extreme imbalance of foreground and background samples, the learned model is hard to fit the training samples well in the online tracking. In this paper, to alleviate the negative influence caused by the imbalance issue, we propose a novel construction scheme of target-aware features for online discriminative tracking. Specifically, we design a sub-network to generate target-aware feature embeddings of foregrounds and backgrounds by projecting the learned feature embeddings into the target-aware feature space. Then, a model |
关键词 | Object Tracking |
DOI | 10.1007/978-3-030-88004-0_1 |
收录类别 | EI |
语种 | 英语 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48789 |
专题 | 紫东太初大模型研究中心_图像与视频分析 |
通讯作者 | Yu, Bin |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China 2.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, No.95, Zhongguancun East Road, Beijing 100190, China 3.ObjectEye Inc., Beijing, China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Yu, Bin,Tang, Ming,Zheng, Linyu,et al. High-Performance Discriminative Tracking with Target-Aware Feature Embeddings[C]//CSIG, CAAI, CCF, CAA. Switzerland:Springer,2021. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
YuPRCV2021.pdf(1130KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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