通信学报 ›› 2016, Vol. 37 ›› Issue (9): 92-101.doi: 10.11959/j.issn.1000-436x.2016181

• 学术论文 • 上一篇    下一篇

融合遮挡感知的在线Boosting跟踪算法

王亚文,陈鸿昶,李邵梅,高超   

  1. 国家数字交换系统工程技术研究中心,河南 郑州 450002
  • 出版日期:2016-09-25 发布日期:2016-09-28
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;国家科技支撑计划基金资助项目;河南省杰出青年基金资助项目

Online Boosting tracking algorithm combined with occlusion sensing

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

  1. National Digital Switching System Engineering & Technology R&D Center,Zhengzhou 450002,China
  • Online:2016-09-25 Published:2016-09-28
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Science and Technology Support Program of China;The Henan Province Science Found for Distinguished Young Scholars of China

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。

关键词: 在线Boosting, 遮挡感知, ORB特征, 目标跟踪

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.

Key words: online Boosting, occlusion sensing, ORB feature, object tracking

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