Event Detection in Halfpipe Sports Broadcasting Videos
Date Issued
2014
Date
2014
Author(s)
Wen, Hao-Kai
Abstract
In this work, a low-cost and efficient system is proposed to automatically analyze the halfpipe sports broadcasting videos. In addition to the court color ratio information, we find the player region by using salient object detection mechanisms for facing the challenge of motion blurred scenes in HP videos. Besides, a novel and efficient method for detecting the spin event is proposed on the basis of native motion vectors existing in MPEG compressed video. Experimental results show that the proposed system is effective in recognizing the hard-to-be-detected spin and grind events in halfpipe videos.
Subjects
半管
運動影片
事件偵測
動作辨識
Type
thesis
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