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Volumn 1, Issue , 2008, Pages 91-95

A motion tracking method based on Kalman filter combined with mean-shift

Author keywords

Kalman filter; Mean shift algorithm; Prediction; Tracking

Indexed keywords

FEATURE EXTRACTION; FORECASTING; KALMAN FILTERS; PATTERN RECOGNITION; WAVE FILTERS; WAVELET ANALYSIS; WAVELET TRANSFORMS; WINDOWS;

EID: 56749178082     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICWAPR.2008.4635756     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 1
    • 0000097352 scopus 로고    scopus 로고
    • Algorithms for cooperative multisentor surveillance
    • R. Collins, A. Lipton, H.Fujiyoshi, and T. Kanade, "Algorithms for cooperative multisentor surveillance", Proceedings of the IEEE, vol. 89, no. 10, pp. 1456-1477,2001.
    • (2001) Proceedings of the IEEE , vol.89 , Issue.10 , pp. 1456-1477
    • Collins, R.1    Lipton, A.2    Fujiyoshi, H.3    Kanade, T.4
  • 2
    • 84922000549 scopus 로고    scopus 로고
    • Computer vision face tracking as a component of a perceptual user interface
    • Princeton, NJ, October
    • G. R. Bradski, "Computer vision face tracking as a component of a perceptual user interface", in Proc. IEEE Workshop on Applications of Computer Vision, Princeton, NJ, October 1998, pp. 214-219.
    • (1998) Proc. IEEE Workshop on Applications of Computer Vision , pp. 214-219
    • Bradski, G.R.1
  • 5
    • 56749126600 scopus 로고    scopus 로고
    • The adaptive Kalman filter based on the principle of the estimated variance components and its application
    • Mar
    • Congwei Hu, and Dajie Liu, "The adaptive Kalman filter based on the principle of the estimated variance components and its application", Journal of Institute of Surveying and Mapping, Vol 19, No. 1, pp. 15-18, Mar. 2002.
    • (2002) Journal of Institute of Surveying and Mapping , vol.19 , Issue.1 , pp. 15-18
    • Hu, C.1    Liu, D.2
  • 6
    • 79955750805 scopus 로고    scopus 로고
    • University of North Carolina at Chapel Hill Department of Computer Science
    • Greg Welch, and Gary Bishop, "An introduction to the Kalman filter", University of North Carolina at Chapel Hill Department of Computer Science, 2001.
    • (2001) An introduction to the Kalman filter
    • Welch, G.1    Bishop, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.