Research on Moving Target Tracking Based on Kalman Filter in Volleyball Video
Zhou Gaiyun, Guoping Zhang, Chang Cunhong, Li Ma · International Journal of Signal Processing Image Processing and Pattern Recognition · 2017
Sport videos are becoming more and more popular.Therefore, it has highly practical significance and commercial value to analysis sport videos.We researched on the moving object detection, prediction tracking and trajectory in volleyball video sequences captured by a fixed camera.The objects include players and volleyball.For moving objects tracking, firstly, the ID and location information of the objects blob are received through image segmentation.Secondly, tracking algorithm is a combination of centroid tracking algorithm and Kalman filter.The algorithm can provide players and volleyball object tracking.In the process of tracking, Kalman filter is imposed to forecast the motion information to improve the tracking precision.