DocumentCode
2619207
Title
Sequences, structure, and active vision
Author
Rimey, Raymond D. ; Brown, Christopher M.
Author_Institution
Dept. of Comput. Sci., Rochester Univ., NY, USA
fYear
1991
fDate
3-6 Jun 1991
Firstpage
706
Lastpage
709
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location
Maui, HI
ISSN
1063-6919
Print_ISBN
0-8186-2148-6
Type
conf
DOI
10.1109/CVPR.1991.139791
Filename
139791
Link To Document