Study of Moving Object Segmentation Algorithm in Traffic Surveillance Video
Hu Wang · Journal of Gansu Sciences · 2012
The moving object segmentation is the basis for traffic incident detection.The quality of segmentation algorithm directly influences the accuracy of traffic incident detection.The average method,the consecutive frame difference method,the Gaussian mixture modeling algorithms and shadow elimination are studied here.These algorithms are integrated and applied in various stages of the moving object segmentation in traffic surveillance videos.In particular,the consecutive frame difference method and the Gaussian mixture modeling algorithm are taken into experiments.The results indicate that the Gaussian mixture modeling algorithm is more suitable for the moving object segmentation.However,the foreground moving object is often interfered by the shadow,so the algorithms of shadow removal are added to the Gaussian mixture modeling algorithm.The experimental results show that the optimized algorithm can more accurately segment the foreground moving object images.