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Volumn , Issue , 2011, Pages 6-9

An adaptive particle filter method for tracking multiple interacting targets

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE PARTICLE FILTERS; MULTIPLE TARGETS; SAMPLING STRATEGIES; SEARCH SPACES; TARGET MOTIONS;

EID: 84872564561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (10)
  • 1
    • 33745809784 scopus 로고    scopus 로고
    • Robust visual tracking for multiple targets
    • Y. Cai, N. de Freitas, J. J. Little: "Robust Visual Tracking for Multiple Targets," Proc. ECCV, pp.107-118, 2006
    • (2006) Proc. ECCV , pp. 107-118
    • Cai, Y.1    De Freitas, N.2    Little, J.J.3
  • 3
    • 77956006668 scopus 로고    scopus 로고
    • Tracking the invisible: Learning where the object might be
    • H. Grabner, J. Matas, L. J. Van Gool, P. C. Cattin: "Tracking the Invisible: Learning Where the Object Might Be," Proc. CVPR, pp.1285-1292, 2010
    • (2010) Proc. CVPR , pp. 1285-1292
    • Grabner, H.1    Matas, J.2    Van Gool, L.J.3    Cattin, P.C.4
  • 4
    • 0032136153 scopus 로고    scopus 로고
    • CONDENSATION - Conditional density propagation for visual tracking
    • M. Isard, A. Blake: "CONDENSATION - Conditional Density Propagation for Visual Tracking," Int. Journal of Computer Vision, vol.29, pp.5-28, 1998
    • (1998) Int. Journal of Computer Vision , vol.29 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 5
    • 28044451749 scopus 로고    scopus 로고
    • MCMC-based particle filtering for tracking a variable number of interacting targets
    • Z. Khan, T. Balch, F. Dellaert: "MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets," IEEE Trans. Pattern Anal. Mach. Intell., vol.27, pp.1805-1918, 2005
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , pp. 1805-1918
    • Khan, Z.1    Balch, T.2    Dellaert, F.3
  • 6
    • 0035363738 scopus 로고    scopus 로고
    • Probabilistic data association methods for tracking complex visual objects
    • C. Rasmussen, G. D. Hager: "Probabilistic Data Association Methods for Tracking Complex Visual Objects," IEEE Trans. Pattern Anal. Mach. Intell., vol.23, no.6, pp.560-576, 2001
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell. , vol.23 , Issue.6 , pp. 560-576
    • Rasmussen, C.1    Hager, G.D.2
  • 7
    • 79957664101 scopus 로고    scopus 로고
    • Tracking multiple vehicles in airborne image sequences of complex urban environments
    • I. Szottka, M. Butenuth: "Tracking Multiple Vehicles in Airborne Image Sequences of Complex Urban Environments," Proc. IEEE Joint Urban Remote Sensing Event, pp.13-16, 2011
    • (2011) Proc. IEEE Joint Urban Remote Sensing Event , pp. 13-16
    • Szottka, I.1    Butenuth, M.2
  • 8
    • 33745816277 scopus 로고    scopus 로고
    • Fast multiple object tracking via a hierarchical particle filter
    • C. Yang, R. Duraiswami, L. Davis: "Fast Multiple Object Tracking via a Hierarchical Particle Filter," Proc. ICCV, pp.212-219, 2005
    • (2005) Proc. ICCV , pp. 212-219
    • Yang, C.1    Duraiswami, R.2    Davis, L.3
  • 10
    • 77956003998 scopus 로고    scopus 로고
    • Abrupt motion tracking via adaptive stochastic approximationmonte carlo sampling
    • X. Zhou, Y. Lu: "Abrupt Motion Tracking via Adaptive Stochastic ApproximationMonte Carlo Sampling," Proc. CVPR, pp.1847-1854, 2010
    • (2010) Proc. CVPR , pp. 1847-1854
    • Zhou, X.1    Lu, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.