Online learning a high-quality dictionary and classifier jointly for multitask object tracking
文献类型:期刊论文
作者 | Fan BJ(范保杰)![]() ![]() ![]() |
刊名 | IEEE Multimedia
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出版日期 | 2014 |
卷号 | 21期号:4页码:56-66 |
关键词 | Encoding (symbols) Learning systems Target tracking |
ISSN号 | 1070986X |
产权排序 | 2 |
通讯作者 | 范保杰 |
中文摘要 | Object tracking in a particle filter framework is formulated as a binary classification problem. The method exploits a priori information from training data to jointly learn a discriminative dictionary and optimal classifier online. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods |
研究领域[WOS] | Computer Science |
关键词[WOS] | SPARSE REPRESENTATION ; VISUAL TRACKING ; K-SVD ; RECOGNITION ; FEATURES ; MODEL |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000344995000008 |
公开日期 | 2014-11-29 |
源URL | [http://ir.sia.cn/handle/173321/15283] ![]() |
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 | Fan BJ,Gao, Hao,Cong Y,et al. Online learning a high-quality dictionary and classifier jointly for multitask object tracking[J]. IEEE Multimedia,2014,21(4):56-66. |
APA | Fan BJ,Gao, Hao,Cong Y,Du YK,&Tang YD.(2014).Online learning a high-quality dictionary and classifier jointly for multitask object tracking.IEEE Multimedia,21(4),56-66. |
MLA | Fan BJ,et al."Online learning a high-quality dictionary and classifier jointly for multitask object tracking".IEEE Multimedia 21.4(2014):56-66. |
入库方式: OAI收割
来源:沈阳自动化研究所
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