Video Segmentation: A systematic review on recent advances, techniques and classification

Now a days as the multimedia technologies being advances more video data is being produced and stored daily which requires a lot of storage and complex video processing techniques. Video segmentation is a technique to extract useful segments from the video which can be used to develop various video processing based algorithms like video searching, video recommendation, video retrieval, surveillance etc. A lot of progress has been done in this area and researchers are still working due to the uncertain complexity of videos like motion of camera and object movement can impact the quality of video. Due to this evolving research area this paper discusses state of the art techniques for video segmentation. Then work done in past seven years which deals with various challenges in segmentation like motion blur, moving background, focusing, lighting has been analyzed. The paper is concluded with the future directions for the development of efficient algorithms for video segmentation.