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Volumn , Issue , 2009, Pages 9-16

Particle filtering and data association using attribute data

Author keywords

Attribute data; Classification; Data association; Particle filtering

Indexed keywords

ATTRIBUTE DATA; BAYESIAN; CLASSIFICATION; DATA ASSOCIATION; MULTI-TARGET TRACKING; MULTITARGET; PARTICLE FILTER; PARTICLE FILTERING; POSTERIOR PROBABILITY; SIMPLE METHOD; SIMULATION STUDIES; TIME VARYING;

EID: 70449387273     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (11)
  • 1
    • 0034860928 scopus 로고    scopus 로고
    • D. Schulz, W. Burgard, D. Fox, and A.B. Cremers. Tracking multiple moving targets with a mobile robot using particle filters and statistical data association. IEEE Int. Conf. on Robotics and Automation 2001, Proc. 2, pp. 1665-1670.
    • D. Schulz, W. Burgard, D. Fox, and A.B. Cremers. "Tracking multiple moving targets with a mobile robot using particle filters and statistical data association." IEEE Int. Conf. on Robotics and Automation 2001, Proc. Vol. 2, pp. 1665-1670.
  • 3
    • 34548186593 scopus 로고    scopus 로고
    • Joint particle filtering of multiple maneuvering targets from unassociated measurements
    • H. A. P. Blom and E. A. Bloem. "Joint particle filtering of multiple maneuvering targets from unassociated measurements." Journal of Advances in Information Fusion. Vol 1, No. 1, 2006.
    • (2006) Journal of Advances in Information Fusion , vol.1 , Issue.1
    • Blom, H.A.P.1    Bloem, E.A.2
  • 4
    • 50149109645 scopus 로고    scopus 로고
    • Y. Boers and J.N. Driessen. The Mixed Labelling Problem in Multi Target Particle Filtering. FUSION 07, Proc. Conf. Quebec, 2007.
    • Y. Boers and J.N. Driessen. "The Mixed Labelling Problem in Multi Target Particle Filtering." FUSION 07, Proc. Conf. Quebec, 2007.
  • 5
    • 50149087331 scopus 로고    scopus 로고
    • M. Ekman, E. Sviestins, L. Sjöberg, Y. Boers, J.N. Driessen. Particle Filters for Tracking Closely Spaced Targets. FUSION07, Proc. Conf., Quebec, 2007.
    • M. Ekman, E. Sviestins, L. Sjöberg, Y. Boers, J.N. Driessen. "Particle Filters for Tracking Closely Spaced Targets." FUSION07, Proc. Conf., Quebec, 2007.
  • 8
    • 0036458736 scopus 로고    scopus 로고
    • N. Gordon, S. Maskell, and T. Kirubarajan. Efficient particle filters for joint tracking and classification SPIE: Signal Data Process Small Targets, Proc. 4728, pp. 439-449, 2002.
    • N. Gordon, S. Maskell, and T. Kirubarajan. "Efficient particle filters for joint tracking and classification " SPIE: Signal Data Process Small Targets, Proc. Vol. 4728, pp. 439-449, 2002.
  • 10
    • 17144409367 scopus 로고    scopus 로고
    • Joint multiple target tracking and classification in collaborative sensor networks
    • T. Vercauteren, D. Guo, and X. Wang. "Joint multiple target tracking and classification in collaborative sensor networks." IEEE Journal on selected areas in communications, Vol. 23, No. 4, pp. 714-723, 2005.
    • (2005) IEEE Journal on selected areas in communications , vol.23 , Issue.4 , pp. 714-723
    • Vercauteren, T.1    Guo, D.2    Wang, X.3
  • 11
    • 56749112280 scopus 로고    scopus 로고
    • M. Ekman. Particle filters and data association for multi-target tracking. FUSION2008, Proc. Conf., Cologne, 2008.
    • M. Ekman. "Particle filters and data association for multi-target tracking." FUSION2008, Proc. Conf., Cologne, 2008.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.