Real-time non-rigid object tracking using CAMShift with weighted back projection

Lei Sun, Bingrong Wang, Takeshi Ikenaga

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

The Continuously Adaptive Mean Shift algorithm (CAMShift) is an adaptation of mean shift algorithm for object tracking especially for head and face tracking. Traditional CAMShift can not deal with multi-colored object tracking and situations when similar colors exist nearby. In this paper, a new approach towards these problems using CAMShift with weighted back projection is proposed. In our approach, multidimensional histogram with thresholding strategy is utilized. And a new back projection weighting strategy is proposed for situations when similar colors exist near the tracked object. Through experiments, the results show that the proposed method exceeds the traditional CAMShift in situations with multi-colored object or similar-colored background while keeping the processing speed real-time.

本文言語English
ホスト出版物のタイトルProceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010
編集者Andres Iglesias, Osvaldo Gervasi, Marina L. Gavrilova, David Taniar, Bernady O. Apduhan
出版社Institute of Electrical and Electronics Engineers Inc.
ページ86-91
ページ数6
ISBN(電子版)9780769539997
DOI
出版ステータスPublished - 2010 1 1
イベント10th International Conference on Computational Science and Its Applications, ICCSA 2010 - Fukuoka, Japan
継続期間: 2010 3 232010 3 26

出版物シリーズ

名前Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010

Other

Other10th International Conference on Computational Science and Its Applications, ICCSA 2010
CountryJapan
CityFukuoka
Period10/3/2310/3/26

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Computational Mechanics
  • Computational Mathematics
  • Numerical Analysis

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