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

Lei Sun, Bingrong Wang, Takeshi Ikenaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010
EditorsAndres Iglesias, Osvaldo Gervasi, Marina L. Gavrilova, David Taniar, Bernady O. Apduhan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages86-91
Number of pages6
ISBN (Electronic)9780769539997
DOIs
Publication statusPublished - 2010 Jan 1
Event10th International Conference on Computational Science and Its Applications, ICCSA 2010 - Fukuoka, Japan
Duration: 2010 Mar 232010 Mar 26

Publication series

NameProceedings - 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

Keywords

  • CAMShift
  • Mean shift
  • Object tracking
  • Weighted back projection

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Real-time non-rigid object tracking using CAMShift with weighted back projection'. Together they form a unique fingerprint.

  • Cite this

    Sun, L., Wang, B., & Ikenaga, T. (2010). Real-time non-rigid object tracking using CAMShift with weighted back projection. In A. Iglesias, O. Gervasi, M. L. Gavrilova, D. Taniar, & B. O. Apduhan (Eds.), Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010 (pp. 86-91). (Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSA.2010.39