Shot Identification Based on DBN

نویسندگان

  • Yun Liu
  • Xueying Liu
  • Chao Huang
چکیده

A new method to identify the shots in basketball video based on Dynamic Bayesian Network (DBN) has been presented in this paper. Using the DBN, the semantic gap between low-lever features and high-lever semantic will be resolve. To identify the ball and the basketball hoop, Kalman filter and SURF (Speed up Robust Features) is applied separately. At last the DBN is employed to identify the shot events. Experimental results have shown our proposed method is effective for basketball event detection.

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تاریخ انتشار 2010