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Multi-traffic objects classification using support vector machine

Published • May 1, 2010
NobleIDNI9P45W50R72S25
Authors:
Neng Sheng
,
Hui Wang
,
Hong Liu

Abstract

In order to classify the traffic objects in multi-traffic scenes, six classes were divided firstly, then eight features base on shape and motion information are extracted. The eight features of traffic objects will be the input of the support vector machine (SVM) classifier which is contrasted with ...

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