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Volumn 27, Issue 7, 2006, Pages 838-842

Dynamical Gaussian mixture model for tracking elliptical living objects

Author keywords

EM algorithm; Gaussian mixture model; Kalman filtering; Tracking

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; COMPUTER SIMULATION; KALMAN FILTERING; MATHEMATICAL MODELS;

EID: 33644856831     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2005.11.015     Document Type: Article
Times cited : (27)

References (9)
  • 4
    • 0033098507 scopus 로고    scopus 로고
    • Tracking colour objects using adaptive mixture models
    • S. McKenna, S. Gong, and Y. Raja Tracking colour objects using adaptive mixture models Image Vision Comput. 17 1999 225 231
    • (1999) Image Vision Comput. , vol.17 , pp. 225-231
    • McKenna, S.1    Gong, S.2    Raja, Y.3
  • 5
    • 5044229078 scopus 로고    scopus 로고
    • LAFTER: Lips and face real time tracker with facial expression recognition
    • Oliver, N., Pentland, A., Bérard, F., 1997. LAFTER: lips and face real time tracker with facial expression recognition. In: CVPR '97.
    • (1997) CVPR '97
    • Oliver, N.1    Pentland, A.2    Bérard, F.3
  • 6
    • 0034440709 scopus 로고    scopus 로고
    • Object tracking by adaptive modeling
    • Rares, A., Reinders, M.J.T., 2000. Object tracking by adaptive modeling. In: ICIP '2000.
    • (2000) ICIP '2000
    • Rares, A.1    Reinders, M.J.T.2
  • 8
    • 0345414510 scopus 로고    scopus 로고
    • Maintaining multi-modality though mixture modeling
    • Vermaak, J., Doucet A., Pérez, P., 2003. Maintaining multi-modality though mixture modeling. In: ICCV '2003.
    • (2003) ICCV '2003
    • Vermaak, J.1    Doucet, A.2    Pérez, P.3
  • 9
    • 0242657969 scopus 로고    scopus 로고
    • Competitive em algorithm for finite mixture models
    • B.B. Zhang, C.S. Zhang, and X. Yi Competitive EM algorithm for finite mixture models Pattern Recognit. 37 2004 131 144
    • (2004) Pattern Recognit. , vol.37 , pp. 131-144
    • Zhang, B.B.1    Zhang, C.S.2    Yi, X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.