Title :
Temporal slice analysis of image sequences
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
An early-processing algorithm to extract motion information from closely sampled image sequences is presented. This method outputs dense displacement field, based on the extraction of strips in slices taken from the image volume along the temporal dimension. The extracted strips provide estimates of the velocity component along the slice orientation. Because of the high sampling rate, the motion is assumed to be piecewisely translational. A voting scheme to estimate the position of FOE while extracting strips is proposed. The true velocity can then be calculated. Results on several real image sequences and a promising speedup from the parallel implementation on the Connection Machine are presented
Keywords :
computer vision; computerised picture processing; Connection Machine; dense displacement field; early-processing algorithm; image sequences; motion information; parallel implementation; piecewisely translational; real image sequences; sampling rate; slice orientation; temporal dimension; temporal slice analysis; velocity component; voting scheme; Cameras; Data mining; Image analysis; Image motion analysis; Image sampling; Image sequence analysis; Image sequences; Intelligent robots; Intelligent systems; Strips;
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-8186-2148-6
DOI :
10.1109/CVPR.1991.139703