Online structured sparse learning with labeled information for robust object tracking | |
Fan BJ(范保杰); Cong Y(丛杨)![]() ![]() | |
刊名 | Journal of Electronic Imaging
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2017 | |
卷号 | 26期号:1页码:1-16 |
关键词 | robust object tracking online dictionary learning and updating robust sparse coding prior information joint decision metric |
ISSN号 | 1017-9909 |
通讯作者 | 范保杰 |
产权排序 | 1 |
中文摘要 | We formulate object tracking under the particle filter framework as a collaborative tracking problem. The priori information from training data is exploited effectively to online learn a discriminative and reconstructive dictionary, simultaneously without losing structural information. Specifically, the class label and the semantic structure information are incorporated into the dictionary learning process as the classification error term and ideal coding regularization term, respectively. Combined with the traditional reconstruction error, a unified dictionary learning framework for robust object tracking is constructed. By minimizing the unified objective function with different mixed norm constraints on sparse coefficients, two robust optimizing methods are developed to learn the high-quality dictionary and optimal classifier simultaneously. The best candidate is selected by minimizing the reconstructive error and classification error jointly. As the tracking continues, the proposed algorithms alternate between the robust sparse coding and the dictionary updating. The proposed trackers are empirically compared with 14 state-of-the-art trackers on some challenging video sequences. Both quantitative and qualitative comparisons demonstrate that the proposed algorithms perform well in terms of accuracy and robustness. |
收录类别 | EI |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/19920] ![]() |
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,Cong Y,Tang YD. Online structured sparse learning with labeled information for robust object tracking[J]. Journal of Electronic Imaging,2017,26(1):1-16. |
APA | Fan BJ,Cong Y,&Tang YD.(2017).Online structured sparse learning with labeled information for robust object tracking.Journal of Electronic Imaging,26(1),1-16. |
MLA | Fan BJ,et al."Online structured sparse learning with labeled information for robust object tracking".Journal of Electronic Imaging 26.1(2017):1-16. |
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