275 / 1971-01-01 00:00:00
An Improved Camshift Algorithm For Face Tracking
Camshift,AdaBoost,face tracking,Kalman filtering
终稿
Yubing He / Shenyang University of Technology
Yubing He / Shenyang University of Technology
Camshift is an effective algorithm for real time dynamic target tracking applications, which only finds target manually and is sensitive to occlusion.To resolve the problem, an improved Camshift algorithm is proposed to seek the initial search window automatically by combined with Adaboost face detection. Besides,skin color detection is added to the back-projection image to increase the weight of face region.Once the target is judged lost, Kalman filtering is utilized to find it again and the improved Camshift keeps on tracking the target continuously.The results prove that the proposed method is more robust than the traditional Camshift and give better tracking performance than some other improved methods.
重要日期
  • 会议日期

    01月22日

    2015

    02月23日

    2015

  • 12月20日 2014

    初稿截稿日期

  • 12月20日 2014

    提前注册日期

  • 12月31日 2014

    终稿截稿日期

  • 02月23日 2015

    注册截止日期

  • 04月20日 2015

    摘要截稿日期

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