Research on Sports Video Content Analysis Method Based on Clustering Extraction Algorithm

Abstract

The algorithm first uses the time domain information of the sports video image to segment the foreground image containing multiple sports targets through sample variance for background modeling. Then the spatial connectivity rate of pixels is defined, and the initial clusters are adaptively split and merged. The self-organizing iterative clustering algorithm can complete the segmentation of multiple moving targets without setting the number of clustering divisions in advance. Experimental results prove that the algorithm has a good segmentation effect on multiple moving targets, and the segmentation results are consistent with the judgment of human vision. The use of spatial connectivity information makes the algorithm iteratively converge fast and has good real-time performance.