Title :
Image sequence enhancement using multiple motions analysis
Author :
Irani, Michal ; Peleg, Shinuel
Author_Institution :
Inst. of Comput. Sci., Hebrew Univ. of Jerusalem, Israel
Abstract :
A method for detecting and tracking multiple moving objects, using both a large spatial region and a large temporal region, without assuming temporal motion constancy is described. When the large spatial region of analysis has multiple moving objects, the motion parameters and the locations of the objects are computed for one object after another. A method for segmenting the image plane into differently moving objects and computing their motions using two frames is presented. The tracking of detected objects using temporal integration and the algorithms for enhancement of tracked objects by filling-in occluded regions and by improving the spatial resolution of the imaged objects are described
Keywords :
image sequences; motion estimation; tracking; image sequence enhancement; large spatial region; large temporal region; motion estimation; motion parameters; multiple motions analysis; multiple moving objects; occluded regions; spatial resolution; temporal integration; Image motion analysis; Image reconstruction; Image resolution; Image segmentation; Image sequences; Layout; Motion analysis; Motion detection; Object detection; Tracking;
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
Print_ISBN :
0-8186-2855-3
DOI :
10.1109/CVPR.1992.223272
