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Proceedings Paper

Application of binocular vision system to face detection and tracking in service robot
Author(s): Junfeng Qian; Shiwei Ma; Yulin Xu; Xin Li; Yujie Shen
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Paper Abstract

A binocular vision system and its application to face detection and tracking in robot is introduced in this paper. With the vision system, the robot can do face detection, identification, recognition and tracking. The face area is detected in realtime by using AdaBoost algorithm. And a method is proposed with which a real face can be distinguished from a picture one by using skin color information and depth data. A specific face can be recognized by comparing the principal components of the current face to those of the known individuals in a face database built in advance. Finally, the robot can track a specified face according to depth of the face and position of a face rectangle in the frame. Experiment results are given and discussed.

Paper Details

Date Published: 15 November 2011
PDF: 8 pages
Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83350P (15 November 2011); doi: 10.1117/12.918122
Show Author Affiliations
Junfeng Qian, Shanghai Univ. (China)
Shiwei Ma, Shanghai Univ. (China)
Yulin Xu, Shanghai Univ. (China)
Xin Li, Shanghai Univ. (China)
Yujie Shen, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 8335:
2012 International Workshop on Image Processing and Optical Engineering
Hai Guo; Qun Ding, Editor(s)

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