Title :
Affine-invariant contour tracking with automatic control of spatiotemporal scale
Author :
Blake, Andrew ; Curwen, Rupert ; Zisserman, Andrew
Author_Institution :
Dept. of Eng. Sci., Oxford Univ., UK
Abstract :
A framework for visual tracking of contours is presented, based on a synthesis of elastic models, stochastic filtering, and geometric invariance. Flexibly coupled curve templates implement soft prior assumptions about shape. Affine invariance, built into the flexible coupling, ensures that the affine deformations that arise naturally from image projection are favored. The stochastic basis of the framework is shown to result naturally in an automatic mechanism for the control of spatiotemporal scale
Keywords :
computer vision; image recognition; affine deformations; affine-invariant contour tracking; automatic control; curve templates; elastic models; geometric invariance; image projection; spatiotemporal scale; stochastic filtering; visual tracking of contours; Automatic control; Filtering; Hardware; Motion control; Shape; Solid modeling; Spatiotemporal phenomena; Stochastic processes; Tracking; Uncertainty;
Conference_Titel :
Computer Vision, 1993. Proceedings., Fourth International Conference on
Conference_Location :
Berlin
Print_ISBN :
0-8186-3870-2
DOI :
10.1109/ICCV.1993.378234