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- W2394030592 abstract "An SVM (support vector machine) classifier is used to classify the pixels and generate a reliable target probability distribution image. The outstanding trust region numeric optimization algorithm is utilized to locate the target as well as determine its size. The SVM classifier's low error rate of classification offers a better base for the trust region algorithm. Comparison with existing method and present tracking examples show that the proposed method is better in both target detection and precision improvement." @default.
- W2394030592 created "2016-06-24" @default.
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- W2394030592 date "2008-01-01" @default.
- W2394030592 modified "2023-09-26" @default.
- W2394030592 title "Object Tracking by Using SVM and Trust-Region Method" @default.
- W2394030592 hasPublicationYear "2008" @default.
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