Title :
Classification and tracking using local optimization
Author :
Peleg, Shmuel ; Nathan, Arokia
Author_Institution :
Dept. of Computer Sci., Hebrew Univ. of Jerusalem, Jerusalem, Israel
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;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMC.1983.6313194