Title :
Motion estimation using invariance under group transformations
Author_Institution :
Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Abstract :
This paper describes a spatiotemporal framework for motion estimation, based on a fully parametric motion model. The model type defines a group of transformations. The motion estimation consists in finding a subgroup which leaves the image sequence invariant
Keywords :
motion estimation; group transformations; image sequence; invariance; motion estimation; spatiotemporal framework; transformations; Image motion analysis; Image sequences; Laboratories; Motion analysis; Motion estimation; Optical computing; Parameter estimation; Signal processing; Signal processing algorithms; Spatiotemporal phenomena;
Conference_Titel :
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6265-4
DOI :
10.1109/ICPR.1994.576249
