TY - JOUR
T1 - Classification and Tracking Using Local Optimization
AU - Peleg, Shmuel
AU - Nathan, Allon
PY - 1983
Y1 - 1983
N2 - When a heuristic function is available to evaluate classifications, 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.
AB - When a heuristic function is available to evaluate classifications, 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.
UR - http://www.scopus.com/inward/record.url?scp=0020851862&partnerID=8YFLogxK
U2 - 10.1109/TSMC.1983.6313194
DO - 10.1109/TSMC.1983.6313194
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AN - SCOPUS:0020851862
SN - 0018-9472
VL - SMC-13
SP - 1158
EP - 1162
JO - IEEE Transactions on Systems, Man and Cybernetics
JF - IEEE Transactions on Systems, Man and Cybernetics
IS - 6
ER -