Classifying Energy Feature for Video Segmentation

Video segmentation is a major role in digital image processing. This paper provides methodology for detecting moving object presented in the given input video. First step is converting input video into frames. Second step is feature calculation by using edge histogram descriptor method. Third step is classification using online support vector machine classifier. Finally, convex hull algorithm is used to grouping the moving pixel.