Hough Forest-based Association Framework with Occlusion Handling for Multi-Target Tracking
Hough Forest-based Association Framework with Occlusion Handling for Multi-Target Tracking
复制标题
基于霍夫森林的关联框架与多目标跟踪的遮挡处理
DOI:
10.1109/lsp.2015.2512878
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发表时间:
2016-02
影响因子:
3.9
通讯作者:
Gao, Changxin
中科院分区:
文献类型:
--
作者:
Sang, Nong;Hou, Jianhua;Huang, Rui;Gao, Changxin
This letter presents a novel multi-target tracking approach consisting of two parts. The first part is the detection based association to form global tracks. Short yet reliable tracklets are firstly generated. By effectively combining appearance and motion information, a Hough forest learning framework is constructed to obtain a more discriminative affinity model and produce longer association between tracklets. In the second part, in order to connect isolate detections for trajectory consistency, we present an appearance similarity model based on mutual occlusion reasoning. A novel fusion feature template is designed to accurately compute the matching score between each isolated detection and target. Experimental results show significant improvements of our method when compared with several state-of-the-art methods.
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DOI:
10.1007/978-3-642-33709-3_25
发表时间:
2012-10
期刊:
--
影响因子:
--
作者:
Amir Zamir;Afshin Dehghan;M. Shah
通讯作者:
Amir Zamir;Afshin Dehghan;M. Shah
DOI:
10.1109/cvpr.2009.5206735
发表时间:
2009-06
期刊:
2009 IEEE Conference on Computer Vision and Pattern Recognition
影响因子:
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作者:
Yuan Li;Chang Huang;R. Nevatia
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Yuan Li;Chang Huang;R. Nevatia
DOI:
10.1109/tpami.2013.103
发表时间:
2014-01-01
影响因子:
23.6
作者:
Milan, Anton;Roth, Stefan;Schindler, Konrad
通讯作者:
Schindler, Konrad
DOI:
10.1109/cvpr.2008.4587584
发表时间:
2008-06
期刊:
2008 IEEE Conference on Computer Vision and Pattern Recognition
影响因子:
--
作者:
Li Zhang;Yuan Li;R. Nevatia
通讯作者:
Li Zhang;Yuan Li;R. Nevatia
影响因子:
10.6
作者:
A. Heili;Adolfo López;J. Odobez
通讯作者:
A. Heili;Adolfo López;J. Odobez