메뉴 건너뛰기




Volumn 42, Issue 9, 2009, Pages 2160-2168

A local-motion-based probabilistic model for visual tracking

Author keywords

Local motion; Occlusion; Probabilistic visual models; Visual tracking

Indexed keywords

CLOSE PROXIMITY; COLOR BASED TRACKING; COMBINED TRACKERS; CONSECUTIVE IMAGES; DATA SETS; HAND TRACKING; LOCAL MOTION; LOCAL MOTIONS; MOTION MODELS; OCCLUSION; PARTICLE FILTER; PROBABILISTIC MODELS; PROBABILISTIC VISUAL MODELS; VISUAL INFORMATION; VISUAL MODEL; VISUAL TRACKING;

EID: 67349114560     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.01.002     Document Type: Article
Times cited : (36)

References (35)
  • 1
    • 0003665481 scopus 로고    scopus 로고
    • A. Doucet, N. de Freitas, N. Gordon Eds, Springer, New York
    • A. Doucet, N. de Freitas, N. Gordon (Eds.), Sequential Monte Carlo Methods in Practice, Springer, New York, 2001.
    • (2001) Sequential Monte Carlo Methods in Practice
  • 2
    • 0032136153 scopus 로고    scopus 로고
    • Condensation-conditional density propagation for visual tracking
    • Isard M., and Blake A. Condensation-conditional density propagation for visual tracking. Int. J. Comput. Vision 29 1 (1998) 5-28
    • (1998) Int. J. Comput. Vision , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 8
    • 34248582182 scopus 로고    scopus 로고
    • Sequential Monte Carlo tracking by fusing multiple cues in video sequences
    • Brasnett P., Mihaylova L., Bull D., and Canagarajah N. Sequential Monte Carlo tracking by fusing multiple cues in video sequences. Image Vision Comput. 25 8 (2007) 1217-1227
    • (2007) Image Vision Comput. , vol.25 , Issue.8 , pp. 1217-1227
    • Brasnett, P.1    Mihaylova, L.2    Bull, D.3    Canagarajah, N.4
  • 9
    • 84957655116 scopus 로고    scopus 로고
    • Icondensation: Unifying low-level and high-level tracking in a stochastic framework
    • M. Isard, A. Blake, Icondensation: unifying low-level and high-level tracking in a stochastic framework, in: Lecture Notes in Computer Science, vol. 1406, 1998, pp. 893-908.
    • (1998) Lecture Notes in Computer Science , vol.1406 , pp. 893-908
    • Isard, M.1    Blake, A.2
  • 14
    • 13344250690 scopus 로고    scopus 로고
    • Data fusion for visual tracking with particles
    • Pérez P., Vermaak J., and Blake A. Data fusion for visual tracking with particles. Proc. IEEE 92 3 (2004) 495-513
    • (2004) Proc. IEEE , vol.92 , Issue.3 , pp. 495-513
    • Pérez, P.1    Vermaak, J.2    Blake, A.3
  • 16
    • 70450216077 scopus 로고    scopus 로고
    • A probabilistic approach to integrating multiple cues in visual tracking
    • W. Du, J. Piater, A probabilistic approach to integrating multiple cues in visual tracking, in: 10th European Conference on Computer Vision, 2008.
    • (2008) 10th European Conference on Computer Vision
    • Du, W.1    Piater, J.2
  • 17
    • 33846974016 scopus 로고    scopus 로고
    • Tracking by cluster analysis of feature points using a mixture particle filter
    • W. Du, J.H. Piater, Tracking by cluster analysis of feature points using a mixture particle filter, in: Advanced Video and Signal Based Surveillance, 2005, pp. 165-170.
    • (2005) Advanced Video and Signal Based Surveillance , pp. 165-170
    • Du, W.1    Piater, J.H.2
  • 18
    • 0002836012 scopus 로고
    • An iterative image registration technique with an application to stereo vision
    • B.D. Lucas, T. Kanade, An iterative image registration technique with an application to stereo vision, in: Imaging Understanding Workshop, 1981, pp. 121-130.
    • (1981) Imaging Understanding Workshop , pp. 121-130
    • Lucas, B.D.1    Kanade, T.2
  • 23
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
    • Arulampalam M., Maskell S., Gordon N., and Clapp T. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Proc. 50 2 (2002) 174-188
    • (2002) IEEE Trans. Signal Proc. , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, M.1    Maskell, S.2    Gordon, N.3    Clapp, T.4
  • 25
    • 67349175122 scopus 로고    scopus 로고
    • J.Y. Bouguet, Pyramidal implementation of the Lucas Kanade feature tracker: description of the algorithm, Technical Report, Intel Corporation, Microprocessor Research Labs, 〈http://www.intel.com/research/mrl/research/opencv/〉〈 http://www.intel.com/research/mrl/research/opencv/〉 (last visit: 2007).
    • J.Y. Bouguet, Pyramidal implementation of the Lucas Kanade feature tracker: description of the algorithm, Technical Report, Intel Corporation, Microprocessor Research Labs, 〈http://www.intel.com/research/mrl/research/opencv/〉〈 http://www.intel.com/research/mrl/research/opencv/〉 (last visit: 2007).
  • 28
    • 63249115959 scopus 로고    scopus 로고
    • Closed-world tracking of multiple interacting targets for indoor-sports applications
    • in press. doi:10.1016/j.cviu.2008.01.009
    • M. Kristan, J. Perš, M. Perše, S. Kovačič, Closed-world tracking of multiple interacting targets for indoor-sports applications, Comput. Vision Image Understanding, in press. doi:10.1016/j.cviu.2008.01.009.
    • Comput. Vision Image Understanding
    • Kristan, M.1    Perš, J.2    Perše, M.3    Kovačič, S.4
  • 29
    • 1642354326 scopus 로고    scopus 로고
    • Survey of maneuvering target tracking: dynamic models
    • Rong Li X., and Jilkov V.P. Survey of maneuvering target tracking: dynamic models. IEEE Trans. Aerosp. Electron. Syst. 39 4 (2003) 1333-1363
    • (2003) IEEE Trans. Aerosp. Electron. Syst. , vol.39 , Issue.4 , pp. 1333-1363
    • Rong Li, X.1    Jilkov, V.P.2
  • 30
    • 67349203721 scopus 로고    scopus 로고
    • PETS: Performance Evaluation of Tracking and Surveillance, Online database, 〈http://www.cvg.rdg.ac.uk/slides/pets.html〉, 2006, (last visited: 4.4.2007).
    • PETS: Performance Evaluation of Tracking and Surveillance, Online database, 〈http://www.cvg.rdg.ac.uk/slides/pets.html〉, 2006, (last visited: 4.4.2007).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.