Image Object Recognition by SVMs and Evidence Theory

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• 作者：Zijian Deng ; Bicheng Li ; Jun Zhuang
• 刊名：Lecture Notes in Computer Science
• 出版年：2005
• 出版时间：2005
• 年：2005
• 卷：3568
• 期：1
• 页码：p.560
• 全文大小：127 KB

文摘

A new method for image object recognition is proposed. The complicated relation between the visual features and the recognizing result are modeled using evidence theory in the proposed method. Given a recognition task, new method constructs multiple SVMs each for a single feature, and then a modified combination rule is utilized to fuse initial results from multiple SVMs to a more reliable result as the initial results often conflict with each other. In this way, the influence of different features is tuned properly, thus the system may adapt itself to different recognition tasks. Experiments demonstrate the effectiveness of the proposed method.