Curvelet transform based moving object segmentation

In this paper, we have proposed a new method for segmentation of moving objects, which is based on single change detection applied on curvelet coefficients of two consecutive frames. The wavelet transform is widely used in moving object segmentation but it can not describe curve discontinuities. Therefore we have used curvelet transform for segmentation of moving objects. The proposed method is simple and does not require any other parameter except curvelet coefficients. Results after applying the proposed method for segmentation of moving object are compared with other state-of-the-art methods in terms of visual as well as quantitative performance measures viz. Misclassification penalty, Relative position based measure and Structural content. The proposed method is found to be better than other methods.