Enhanced Shot Change Detection using Motion Features for Soccer Video Analysis
An enhanced shot change detection algorithm for soccer video analysis is proposed in this paper. Features extracted from reliable motion vectors (MVs) are used to enhance the accuracy and efficiency of color-based method. In order to eliminate unreliable MVs, a MV filtration scheme is designed based on the principle of block-based motion search. Then two features, named as proportion of reliable MVs and centrality of reliable MVs respectively, are extracted from the filtration results in each frame. The experiments on 180 minutes' soccer video demonstrate that our algorithm achieved a considerable improvement over the widely-adopted color-based method.