Moving Object Segmentation Based on Wavelet Transform and ICA

This paper addresses the problem of spatia-l temporal segmentation of video sequences.In the temporal segmentation,we use the 1D wavelet transform to get motion information of adjacency frames, then the independent component analysis is used in removing noise and extracting independently moving objects.Furthermore,change detection algorithm based on histogram is adopted to segment moving objects. In the spatial segmentation,in order to alleviate over-segmentation problem,the inter-frame was partitioned into regions by an improved watershed algorithm,which processes the edge of image rather than image itself.Finally,our algorithm is compared with the famous COS T211 AM.The experimental results show that our algorithm can extract moving object more accurately than the COS T211 AM but with a better shape preserving ability.