DocumentCode :
1299592
Title :
Classification and tracking using local optimization
Author :
Peleg, Shmuel ; Nathan, Arokia
Author_Institution :
Dept. of Computer Sci., Hebrew Univ. of Jerusalem, Jerusalem, Israel
Issue :
6
fYear :
1983
Firstpage :
1158
Lastpage :
1162
Abstract :
When a heuristic function is available to evaluate classification, a special search procedure is applied to find a classification optimizing this function. A specific application to image segmentation is presented, including several examples. The major difference between this approach and previous optimization attempts is the use of deterministic rather than probabilistic classifications. The approach is also applied to object tracking in image sequences.
Keywords :
optimisation; picture processing; classification; heuristic function; image segmentation; image sequences; local optimization; picture processing; tracking; Distributed control; Games; Image segmentation; Labeling; Learning automata; Optimization; Stochastic processes;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/TSMC.1983.6313194
Filename :
6313194
Link To Document :
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