Online Boosting tracking algorithm combined with occlusion sensing

Ya-wen WANG; Hong-chang CHEN; Shao-mei LI; Chao GAO

doi:10.11959/j.issn.1000-436x.2016181

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Online Boosting tracking algorithm combined with occlusion sensing

Papers | 更新时间：2024-06-05

- Online Boosting tracking algorithm combined with occlusion sensing
- Journal on Communications Vol. 37, Issue 9, Pages: 92-101(2016)
- 作者机构：
  
  国家数字交换系统工程技术研究中心，河南郑州 450002
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61379151);The Innovation Group Program Project of National Natural Science Foundation of China(61521003);The National Key Technology R＆D Program(2014BAH30B01);The Excellent Youth Foundation of Henan Province of China(144100510001)
- DOI：10.11959/j.issn.1000-436x.2016181
  CLC： TP391.41
- Online First：2016-09，
  
  Published：25 September 2016
- 稿件说明：
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Ya-wen WANG, Hong-chang CHEN, Shao-mei LI, et al. Online Boosting tracking algorithm combined with occlusion sensing[J]. Journal on Communications, 2016, 37(9): 92-101.
DOI：

Ya-wen WANG, Hong-chang CHEN, Shao-mei LI, et al. Online Boosting tracking algorithm combined with occlusion sensing[J]. Journal on Communications, 2016, 37(9): 92-101. DOI： 10.11959/j.issn.1000-436x.2016181.

摘要

提出融合遮挡感知的在线Boosting跟踪算法，该算法对跟踪结果实时进行遮挡检测，根据检测结果自适应调整分类器更新策略。该方式能够有效维护分类器特征池的纯净，提高算法在遮挡环境下的顽健性。实验结果表明，与传统的在线Boosting跟踪算法相比，改进的算法能有效解决目标遮挡问题。

Abstract

Online Boosting tracking algorithm combined with occlusion sensing was presented.In this method

occlusion sensor was introduced to check the tracking results

and classifier updating strategy was adjusted depending on the occlusion checking results.By this way

the feature pool of the classifier can be kept pure

which will improve the tracking robustness under occlusion.Experimental results show that compared with traditional Boosting tracking algorithm

improved algorithm can solve the problem of occlusion very well.

关键词

Keywords

references

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