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Volumn 3247, Issue , 2004, Pages 50-60

Probabilistic tracking of the soccer ball

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; SPORTS; VIDEO SIGNAL PROCESSING;

EID: 35048822410     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30212-4_5     Document Type: Article
Times cited : (14)

References (18)
  • 3
    • 0002021424 scopus 로고    scopus 로고
    • Where are the ball and players? soccer game analysis with color-based tracking and image mosaick
    • Florence, Italy.
    • Seo, Y., Choi, S., Kim, H., Hong, K.: Where are the ball and players? soccer game analysis with color-based tracking and image mosaick. In: Proc. Int. Conf. on Image Analysis and Processing, Florence, Italy. (1997)
    • (1997) Proc. Int. Conf. on Image Analysis and Processing
    • Seo, Y.1    Choi, S.2    Kim, H.3    Hong, K.4
  • 6
    • 0036923925 scopus 로고    scopus 로고
    • A soccer image mosaicking and analysis method using line and advertisement board detection
    • Yoon, H., Bae, Y., Yang, Y.: A soccer image mosaicking and analysis method using line and advertisement board detection. ETRI Journal 24 (2002)
    • (2002) ETRI Journal , vol.24
    • Yoon, H.1    Bae, Y.2    Yang, Y.3
  • 9
    • 8844278537 scopus 로고    scopus 로고
    • Tracking players and a ball in video image sequence and estimating camera parameters for 3d interpretation of soccer games
    • Yamada, A., Shirai, Y., Miura, J.: Tracking players and a ball in video image sequence and estimating camera parameters for 3d interpretation of soccer games. In: Proc. International Conference on Pattern Recognition. (2002)
    • (2002) Proc. International Conference on Pattern Recognition
    • Yamada, A.1    Shirai, Y.2    Miura, J.3
  • 14
    • 0003665481 scopus 로고    scopus 로고
    • Doucet, A., Freitas, N.D., Gordon, N., eds Springer-Verlag
    • Doucet, A., Freitas, N.D., Gordon, N., eds.: Sequential Monte Carlo Methods in Practice. Springer-Verlag (2001)
    • (2001) Sequential Monte Carlo Methods in Practice
  • 17
    • 33645307063 scopus 로고    scopus 로고
    • Background and foreground modeling using nonparametric kernel density for visual surveillance
    • Elgammal, A., Duraiswami, R., Harwood, D., Davis, L.S.: Background and foreground modeling using nonparametric kernel density for visual surveillance. In: Proceedings of the IEEE. Volume 90. (2002) 1151-1163
    • (2002) Proceedings of the IEEE. , vol.90 , pp. 1151-1163
    • Elgammal, A.1    Duraiswami, R.2    Harwood, D.3    Davis, L.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.