Title :
Sequences, structure, and active vision
Author :
Rimey, Raymond D. ; Brown, Christopher M.
Author_Institution :
Dept. of Comput. Sci., Rochester Univ., NY, USA
Abstract :
Sequences of symbols generated by a visual and action sequence provide information about the natural structure of the world. HMMs (hidden Markov models) provide one way to learn (recover), store, produce, manipulate, and analyze both visual sequences and associated knowledge structures for computer vision
Keywords :
Markov processes; computer vision; data structures; HMMs; action sequence; active vision; computer vision; hidden Markov models; knowledge structures; visual sequences; Automata; Automatic control; Cameras; Computer science; Control systems; Feedback; Fuses; Government; Hidden Markov models; Parameter estimation;
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.1991.139791
