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Volumn , Issue , 2008, Pages 2553-2558

Swarming particles with multi-feature model for free-selected object tracking

Author keywords

[No Author keywords available]

Indexed keywords

DEGENERACY PROBLEMS; FEATURE MODELS; GENERIC PARTICLE FILTERS; HIGH DIMENSIONAL SPACES; MULTIPLE FEATURE MODELS; OBJECT DESCRIPTION; OBJECT TRACKING; OBJECT TRACKING ALGORITHM; PARTICLE FILTER; POTENTIAL SOLUTIONS; RESAMPLES; SIMILARITY MEASURE; TRACKING ACCURACY;

EID: 69549113577     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2008.4651004     Document Type: Conference Paper
Times cited : (15)

References (20)
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    • Huang, Y.1    Huang, T.S.2    Niemann, H.3
  • 3
    • 33745816277 scopus 로고    scopus 로고
    • Fast Multiple Object Tracking via a Hierarchical Particle Filter
    • Ch. Yang, R. Duraiswami and L. Davis, "Fast Multiple Object Tracking via a Hierarchical Particle Filter", ICCV, 2005.
    • (2005) ICCV
    • Yang, Ch.1    Duraiswami, R.2    Davis, L.3
  • 4
    • 34250646541 scopus 로고    scopus 로고
    • A Real-Time Object Tracking System Using a Particle Filter
    • Beijing, China
    • J. Uk Cho, etc. "A Real-Time Object Tracking System Using a Particle Filter", International Conference on Intelligent Robotics and Systems, pp. 2822-2827, Beijing, China, 2006.
    • (2006) International Conference on Intelligent Robotics and Systems , pp. 2822-2827
    • Uk Cho, J.1
  • 7
    • 24644510884 scopus 로고    scopus 로고
    • Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
    • B. Han, etc., "Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking", IEEE CVPR, 2004.
    • (2004) IEEE CVPR
    • Han, B.1
  • 8
    • 55749084780 scopus 로고    scopus 로고
    • Robust Kernel-Based Tracking Using Optimal Control
    • W. Qu and D. Schonfeld, "Robust Kernel-Based Tracking Using Optimal Control", IEEE, ICIP, 2006.
    • (2006) IEEE, ICIP
    • Qu, W.1    Schonfeld, D.2
  • 13
    • 69549150728 scopus 로고    scopus 로고
    • A Hybrid Method for Robust Multiple Objects Tracking in Cluttered Background
    • R. Akbari, M. D. Jazi, and M. Palhang, "A Hybrid Method for Robust Multiple Objects Tracking in Cluttered Background", Vol.1, 24-28, ICTTA '06.
    • ICTTA '06 , vol.1 , pp. 24-28
    • Akbari, R.1    Jazi, M.D.2    Palhang, M.3
  • 14
    • 34547494017 scopus 로고    scopus 로고
    • Particle Swarms as Video Sequence Inhabitants for Object Tracking in Computer Vision
    • L. Anton-Canalis, M. Hernandez-Tejera, and E. Sanchez-Nielsen etc, "Particle Swarms as Video Sequence Inhabitants For Object Tracking in Computer Vision", Vol.2, pp. 604-609, ISDA '06.
    • ISDA '06 , vol.2 , pp. 604-609
    • Anton-Canalis, L.1    Hernandez-Tejera, M.2    Sanchez-Nielsen, E.3
  • 16
    • 0003838908 scopus 로고    scopus 로고
    • On sequential simulation-based methods for Bayesian filtering
    • Eng. Dept., Cambridge Univ., Cambridge, U.K.
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  • 17
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    • February
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    • Arulampalam, S.1
  • 20
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    • Rapid Object Detection using a Boosted Cascade of Simple Features
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.