OFGM-SMED: An Efficient and Robust Foreground Object Detection in Compressed Video Sequences
A foreground detection method for compressed video objects has been proposed. This method is efficient in reducing the elapsed time, memory size,error rate. It is very efficient in increasing the segmentation accuracy. It is capable of detecting the moving objects both in static and dynamic backgrounds. It also works well in dynamic as well as static camera.
segmentation optical flow gaussian mixture models smed background subtraction