NDLI: An Automatic Vehicle Occupant Counting Algorithm Based on Face Detection

Content Provider	IEEE Xplore Digital Library
Author	Xiaoli Hao Houjin Chen Jie Li
Copyright Year	2006
Description	Author affiliation: Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ. (Xiaoli Hao; Houjin Chen; Jie Li)
Abstract	In this paper the method for automatically detecting and counting vehicle occupants is studied and a face detection algorithm is proposed to count vehicle occupants. A lighting compensation skin tone model is employed as coarse detection. The correlation of human skin colors is used as fine detection. And mathematical morphological operations are employed. Those three steps detect skin regions of the interiors of vehicles and then generate the face candidates. Finally, a fuzzy ART classifier is employed to perform the occupant detection and counting function. Experimental results show that the algorithm is effective under normal daytime conditions, even in the cases of weak luminance on faces and strong light reflections on the front window
File Size	188595
File Format	PDF
ISBN	0780397363
DOI	10.1109/ICOSP.2006.345797
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face detection Skin Vehicle detection Morphological operations Traffic control Humans Subspace constraints Road vehicles Optical reflection Cameras
Content Type	Text
Resource Type	Article

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An Automatic Vehicle Occupant Counting Algorithm Based on Face Detection