메뉴 건너뛰기




Volumn 2449, Issue , 2002, Pages 17-25

On optimal camera parameter selection in kalman filter based object tracking

Author keywords

[No Author keywords available]

Indexed keywords

CAMERA PARAMETER; CONDITIONAL ENTROPY; GENERAL APPROACH; MULTIPLE SENSORS; OBJECT TRACKING; OPTIMALITY CRITERIA; PROBABILISTIC DESCRIPTIONS; REAL-TIME EXPERIMENT; LINEAR KALMAN FILTERS; STATIC SYSTEMS;

EID: 84878542087     PISSN: 03029743     EISSN: 16113349     Source Type: Journal    
DOI: 10.1007/3-540-45783-6_3     Document Type: Article
Times cited : (11)

References (12)
  • 3
    • 84889281816 scopus 로고
    • Wiley Series in Telecommunications. John Wiley and Sons, New York
    • T.M. Cover and J.A. Thomas. Elements of Information Theory. Wiley Series in Telecommunications. John Wiley and Sons, New York, 1991.
    • (1991) Elements of Information Theory
    • Cover, T.M.1    Thomas, J.A.2
  • 4
    • 0036473286 scopus 로고    scopus 로고
    • Information theoretic sensor data selection for active object recognition and state estimation
    • J. Denzler and C.M. Brown. Information theoretic sensor data selection for active object recognition and state estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(2): 145-157, 2002.
    • (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.24 , Issue.2 , pp. 145-157
    • Denzler, J.1    Brown, C.M.2
  • 5
    • 84945251783 scopus 로고    scopus 로고
    • Optimal camera parameter selection for state estimation with applications in object recognition
    • B. Radig and S. Florczyk, editors Berlin, September Springer
    • J. Denzler, C.M. Brown, and H. Niemann. Optimal Camera Parameter Selection for State Estimation with Applications in Object Recognition. In B. Radig and S. Florczyk, editors, Pattern Recognition 2001, pages 305-312, Berlin, September 2001. Springer.
    • (2001) Pattern Recognition 2001 , pp. 305-312
    • Denzler, J.1    Brown, C.M.2    Niemann, H.3
  • 11
    • 0003063219 scopus 로고    scopus 로고
    • Learning temporal context in active object recognition using Bayesian analysis
    • Barcelona
    • L. Paletta, M. Prantl, and A. Pinz. Learning temporal context in active object recognition using bayesian analysis. In International Conference on Pattern Recognition, volume 3, pages 695-699, Barcelona, 2000.
    • (2000) International Conference on Pattern Recognition , vol.3 , pp. 695-699
    • Paletta, L.1    Prantl, M.2    Pinz, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.