대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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- Pages.117-118
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- 2007
SVM을 이용한 스테레오 비전 기반의 사람 탐지
Stereo Vision based Human Detection using SVM
초록
A robot needs a human detection algorithm for interaction with a human. This paper proposes a method that finds people using a SVM (support vector machine) classifier and a stereo camera. Feature vectors of SVM are extracted by HoG (histogram of gradient) within images. After training extracted vectors from the clustered images, the SVM algorithm creates a classifier for human detection. Each candidate for a human in the image is generated by clustering of depth information from a stereo camera and the candidate is evaluated by the classifier. When compared with the existing method of creating candidates for a human, clustering reduces computational time. The experimental results demonstrate that the proposed approach can be executed in real time.
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