Cricket activity detection

Cricket broadcast video analysis has had difficulty identifying aspects of the content such as the type of batting stroke or the direction of the field played towards. Here we construct a composite feature combining Optical flow analysis along with camera view analysis to model the type of shots played. The work first presents an improved camera shot analysis based on learning parameters from a small supervision set. This splits the broadcast video into shots which are combined into balls and, the segment where the batsman is playing the stroke is identified. After that optical flow analysis is used to determine the direction of the stroke with an accuracy of 80 percent.