Title :
Detecting a human body direction using a feature selection method
Author :
Nakashima, Yuuki ; Tan, Joo Kooi ; Ishikawa, Seiji ; Morie, Takashi
Author_Institution :
Dept. of Mech. & Control Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
Abstract :
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.
Keywords :
feature extraction; learning (artificial intelligence); object detection; support vector machines; AdaBoost; HOG feature; SVM; feature detection; feature selection method; human body direction detection; Classification algorithms; Detectors; Feature extraction; Histograms; Humans; Support vector machines; Training; AdaBoost; HOG; Human body direction recognition; SVM; variance between classes;
Conference_Titel :
Control Automation and Systems (ICCAS), 2010 International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4244-7453-0
Electronic_ISBN :
978-89-93215-02-1
