DocumentCode :
2761850
Title :
Robust facial 2D motion model estimation for 3D head pose extraction and automatic camera mouse implementation
Author :
Nabati, Masoomeh ; Behrad, Alireza
Author_Institution :
Electr. Eng. Dept., Shahed Univ., Tehran, Iran
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
817
Lastpage :
824
Abstract :
In this paper, we present a novel approach to 3D head pose estimation from monocular camera images for the control of mouse pointer movements on the screen and clicking events. This work is motivated by the goal of providing a non-contact instrument to control the mouse pointer on a PC system for handicapped people with severe disabilities using low-cost and widely available hardware. The required information is derived from video data captured using a monocular web camera mounted on the computer monitor. Our approach proceeds in six stages. First, the face area is extracted using Haar-like features and AdaBoost algorithm. Second, the locations of the point features are detected and tracked over video frames by LK algorithm. Third, the 2D transformation model between consecutive frames is estimated by matching features and robust RANSAC algorithm. Fourth, the estimated 2D transformation model is applied to four supposed points on the face area. Then, the 3D rotation matrix and translation vector between the web camera and 3D head pose are estimated using four points correspondences. Finally, the 3D rotation and translation matrix is applied for estimating the mouse pointer movements on the PC screen and clicking events. Experimental results showed the promise of the algorithm.
Keywords :
Haar transforms; feature extraction; handicapped aids; image sensors; matrix algebra; motion estimation; mouse controllers (computers); 3D head pose extraction; 3D rotation matrix; AdaBoost algorithm; Haar-like feature; LK algorithm; PC system; RANSAC algorithm; automatic camera mouse implementation; computer monitor; four point correspondence; handicapped people; matching feature; monocular web camera image; mouse pointer movements control; robust facial 2D motion model estimation; translation vector; video data; video frame tracking; Cameras; Estimation; Face; Feature extraction; Mice; Three dimensional displays; 3D head pose estimation; Camera mouse; mouse pointer control; visual tracking module;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications (IST), 2010 5th International Symposium on
Conference_Location :
Tehran
Print_ISBN :
978-1-4244-8183-5
Type :
conf
DOI :
10.1109/ISTEL.2010.5734135
Filename :
5734135
Link To Document :
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