• DocumentCode
    3046283
  • Title

    Ball and Field Line Detection for Placed Kick Refinement

  • Author

    Li, Ying ; Liu, Guizhong ; Qian, Xueming

  • Author_Institution
    Dept. of Inf. Commun. Eng., XJTU, Xi´´an, China
  • Volume
    4
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    404
  • Lastpage
    407
  • Abstract
    Classifying video content into different semantic granularities is a possible way for flexible video indexing, browsing and retrieval. In this paper, a placed kick refinement algorithm is proposed after semantic based event detection or manually annotation. The placed kick event is further classified into following three types: free kick, corner kick and penalty according to the ball and field lines detection and their relationships determination. Firstly, we carry out ball detection in the global shot of the placed kick event. According to the ball detection results, we further determine whether to detect field lines using Hough transform. Finally, the ball and field lines detection results are integrated in decision making stage. Experimental results show the effectiveness of the proposed method.
  • Keywords
    Hough transforms; decision making; image classification; image sequences; indexing; object detection; sport; video retrieval; Hough transform; ball detection; corner kick event; decision making stage; field line detection; flexible video browsing; flexible video indexing; flexible video retrieval; free kick event; penalty kick event; placed kick refinement algorithm; semantic granularity; semantic-based event detection; soccer video sequences; video annotation; video content classification; Bayesian methods; Content based retrieval; Content management; Decision making; Event detection; Gunshot detection systems; Indexing; Information retrieval; Intelligent systems; Video sequences; Ball Detection; Placed Kick; Video Retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.88
  • Filename
    5209259