Title :
A recognition method of driver´s facial orientation based on SVM
Author :
Zhang, Mingheng ; Gang, Longhui
Author_Institution :
Dept. of Vehicle Eng., Dalian Univ. of Technol., Dalian, China
Abstract :
Facial orientation is important for driver´s fatigue and loosing alertness in safety driving assist research field. Based on machine vision, the facial orientation was recognized through SVM with visual features such as eyes, mouth, facial outlines and so on. Experiments show that the proposed method for driver´s facial features detection has good reliability and the facial orientation can be recognized according to relevant characteristics.
Keywords :
computer vision; driver information systems; emotion recognition; face recognition; feature extraction; object detection; road safety; support vector machines; SVM; driver facial features detection; driver facial orientation recognition method; fatigue alertness; loosing alertness; machine vision; safety driving assist research field; support vector machine; Face; Feature extraction; Image color analysis; Mouth; Skin; Support vector machines; Vehicles; Facial orientation; Machine Vision; SVM(Support Vector Machine);
Conference_Titel :
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4577-1700-0
DOI :
10.1109/TMEE.2011.6199446
