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Volumn 2005, Issue , 2005, Pages 2017-2022

Clustering methods for 3D vision data and its application in a probabilistic estimator for tracking multiple objects

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTABILITY; CLUSTERING ALGORITHMS; OBJECTS TRACKING; PROBABILISTIC ALGORITHMS;

EID: 33749660591     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2005.1569214     Document Type: Conference Paper
Times cited : (3)

References (16)
  • 3
    • 3042786636 scopus 로고    scopus 로고
    • Bayesian filtering for location estimation
    • July
    • D. Fox et al, "Bayesian Filtering for Location Estimation" Pervasive Computing, July 2003.
    • (2003) Pervasive Computing
    • Fox, D.1
  • 6
    • 0347468842 scopus 로고    scopus 로고
    • Experiences with an interactive museum tour guide
    • W. Burgard et al., "Experiences with an Interactive Museum Tour Guide", Journal on Artificial Intelligence, vol. 114(1), pp. 3-55, 1999.
    • (1999) Journal on Artificial Intelligence , vol.114 , Issue.1 , pp. 3-55
    • Burgard, W.1
  • 7
    • 0032136153 scopus 로고    scopus 로고
    • Condensation: Conditional density propagation for visual tracking
    • M. Isard and A. Blake, "Condensation: Conditional Density Propagation for Visual Tracking", International Journal of Computer Vision, vol. 29 (1), pp. 5-28, 1998.
    • (1998) International Journal of Computer Vision , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 10
    • 0036475204 scopus 로고    scopus 로고
    • A bayesian approach to track multiple targets using sensor arrays and particle filters
    • February
    • M. Orton and W. Fitzgerald, "A Bayesian Approach to Track Multiple Targets Using Sensor Arrays and Particle Filters", IEEE Transactions on Signal Processing, vol. 50(2), pp. 216-223, February 2002.
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 216-223
    • Orton, M.1    Fitzgerald, W.2
  • 12
    • 0034499827 scopus 로고    scopus 로고
    • Probabilistic algorithms in robotics
    • Winter
    • S. Thrun, "Probabilistic Algorithms in Robotics", AI Magazine, Winter 2000.
    • (2000) AI Magazine
    • Thrun, S.1
  • 13
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for online nonlinear non-gaussian bayesian tracking
    • February
    • M.S. Arulampalam, et al. "A Tutorial on Particle Filters for Online Nonlinear Non-Gaussian Bayesian Tracking", IEEE Transactions on Signal Processing, vol. 50(2), pp. 174-188, February 2002.
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, M.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.