Moving Video Object Edge Detection Using Complex Wavelets

In this paper, an unsupervised moving video object edge detection method based on the dual-tree complex wavelet transform (DTCWT) domain is proposed, and its performance is compared with that of the discrete wavelet transform (DWT). In the proposed DT-CWT-based approach, an interframe change detection method with adaptive thresholding on six DT-CWT subbands is developed to detect moving video object edges, with assist of the edge map generated by exploiting the Canny edge detector in the corresponding frame. The performance of the proposed method is demonstrated both numerically and visually, and shows its clear superiority over the DWT-based approach.