Detecting a human body direction using a feature selection method
| Autor: | Takashi Morie, Seiji Ishikawa, Joo Kooi Tan, Yuuki Nakashima |
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| Rok vydání: | 2010 |
| Předmět: |
Computer science
business.industry Feature extraction Feature selection Pattern recognition Object detection Support vector machine Statistical classification Feature (computer vision) otorhinolaryngologic diseases Computer vision Artificial intelligence AdaBoost business Feature detection (computer vision) |
| Zdroj: | ICCAS 2010. |
| DOI: | 10.1109/iccas.2010.5670329 |
| Popis: | This paper describes a novel technique for detecting a human body direction using SVM constructed by HOG feature selected by AdaBoost. HOG feature is well-known feature for the robust judgment of a human. We employ the feature for detecting a human body direction. We compared some feature selecting methods with the previous one. Experimental results show effectiveness of the proposed method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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