DocumentCode :
725277
Title :
Finding approximate head orientation in non-intrusive environment with single camera
Author :
Abhyankar, Parag ; Momin, B.F.
Author_Institution :
Dept. of Inf. Technol., Finolex Acad., Ratnagiri, India
fYear :
2015
fDate :
19-20 March 2015
Firstpage :
478
Lastpage :
482
Abstract :
Finding head orientation is an important issue in Human Computer Interaction (HCI) for disabled people. It also has applications ranging from drivers attention estimation to monitoring vigilance level of the audience. Head pose detection in non-intrusive or in non-highly specialized environments is, most of the times, difficult to achieve. Most of the work in this domain needs prior knowledge regarding the equipment setup or specialized hardware. We present here an appearance based technique for finding head orientation where environment consist of single camera only. No prior knowledge about environment, like distance between camera and person sitting in front of the camera, is required. Orientations are found in terms of Yaw, Pitch and Roll angles. Our method finds approximate head orientation as we have not calibrated the camera, but it still suits various applications like vigilance monitoring or HCI systems as these applications require general head rotation patterns rather than exact orientation angles.
Keywords :
cameras; face recognition; feature extraction; human computer interaction; pose estimation; HCI systems; appearance based technique; approximate head orientation; audience vigilance level monitoring; disabled people; driver attention estimation; exact orientation angles; facial feature detection; general head rotation patterns; head pose detection; human computer interaction; nonintrusive environment; pitch angles; roll angles; single camera; user attention estimation; yaw angles; Cameras; Estimation; Face; Image color analysis; Magnetic heads; Mouth; Facial feature detection; head pose; user attention estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location :
Ghaziabad
Type :
conf
DOI :
10.1109/ICACEA.2015.7164791
Filename :
7164791
Link To Document :
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