Automatic Video Object Segmentation Using Wavelet Transform and Moving Edge Detection

A fast and automatic video object segmentation algorithm based on wavelet transform and moving edge detection is proposed in this paper. First, the wavelet transform is applied to two consecutive frames. The change detection method with different thresholds in four wavelet sub-bands and Canny edge detection are used in wavelet domain. After the inverse wavelet transform, the robust difference edge map can be obtained. Through combination with the current frame edge map, background edge map and previous frame´s moving edge, the current frame´s moving edge can be detected and tracked. It is then used to extract video object plane (VOP) by a simple filling technique. The proposed algorithm is robust to the entire motion and local deformation of object. Experiments results and object evaluation demonstrate the effectiveness of our algorithm.