Detection of Moving Object Using a Fusion Method Based on Segmentation of Optical Flow Field and Edge Extracted by Canny's Operator
Ze Zhang · Dianzi xuebao · 2003
We proposed a method on detection of moving object using a fusion algorithm based on segmentation of optical flow field and edge extracted by Canny′s operator in the image sequence acquired by a moving camera.This method can be preformed with three steps.In the first step,the segmentation of object area was finished and segmentation map was obtained using motion epipolar constraint and C Mean value cluster algorithm.In the second step,edge map of object area was established by Canny's edge operator.In the third step,a whole object was detected by a novel fusion method based on segmentation map and edge map.The experiments have shown encouraging results using two sequences of natural images with complex backgrounds.