Title :
Motion estimation based on optical flow with adaptive gradients
Author :
Sun, Shijun ; Haynor, David ; Kim, Yongmin
Author_Institution :
Image Comput. Syst. Lab., Washington Univ., Seattle, WA, USA
Abstract :
Optical flow has been widely used in motion estimation. By initializing adaptive gradients, we have developed a technique to reduce the occlusion problem in computing optical flow with the Horn and Schunck (1981) method. The adaptive gradients are derived from the forward and backward image gradients based on the optical flow equation during iterations. Improved optical flow solutions with the elimination of `double-image´ artifacts caused by occlusions have been obtained
Keywords :
adaptive signal processing; gradient methods; image sequences; motion estimation; Gauss-Seidel iterative method; adaptive gradients; backward image gradient; double-image artifacts elimination; forward image gradient; image occlusions; image sequences; motion estimation; occlusion problem reduction; optical flow equation; Adaptive optics; Equations; Image motion analysis; Image sequences; Laboratories; Motion estimation; Motion measurement; Optical computing; Pixel; Sun;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.901093
