Object Tracking via Online Metric Learning
文献类型：会议论文
| 作者 | Cong Y(丛杨) ; Yuan JS(袁浚菘); Tang YD(唐延东)
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| 出版日期 | 2012 |
| 会议名称 | 2012 IEEE International Conference on Image Processing |
| 会议日期 | September 30 - October 3, 2012 |
| 会议地点 | Orland, Florida, USA |
| 关键词 | tracking metric learning semi-supervised learning online learning |
| 页码 | 417-420 |
| 通讯作者 | 丛杨 |
| 中文摘要 | By considering visual tracking as a similarity matching problem, we propose a self-supervised tracking method that incorporates adaptive metric learning and semi-supervised learning into the framework of object tracking. For object representation, the spatial-pyramid structure is applied by fusing both the shape and texture cues as descriptors. A metric learner is adaptively trained online to best distinguish the foreground object and background, and a new bi-linear graph is defined accordingly to propagate the label of each sample. Then high-confident samples are collected to self-update the model to handle large-scale issue. Experiments on the benchmark dataset and comparisons with the state-of-the-art methods validate the advantages of our algorithm. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | IEEE Signal Processing Society |
| 会议录 | Proceedings of the 2012 IEEE International Conference on Image Processing
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4673-2533-2 |
| WOS记录号 | WOS:000319334900100 |
| 源URL | [http://ir.sia.cn/handle/173321/10212]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Cong Y,Yuan JS,Tang YD. Object Tracking via Online Metric Learning[C]. 见:2012 IEEE International Conference on Image Processing. Orland, Florida, USA. September 30 - October 3, 2012. |
入库方式： OAI收割
来源：沈阳自动化研究所
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