Application of binocular vision system to face detection and tracking in service robot

Junfeng Qian; Shiwei Ma; Yulin Xu; Xin Li; Yujie Shen

doi:10.1117/12.918122

15 November 2011 Application of binocular vision system to face detection and tracking in service robot

Junfeng Qian, Shiwei Ma, Yulin Xu, Xin Li, Yujie Shen

Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 83350P (2011) https://doi.org/10.1117/12.918122
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China

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.

Citation Download Citation

Junfeng Qian, Shiwei Ma, Yulin Xu, Xin Li, and Yujie Shen "Application of binocular vision system to face detection and tracking in service robot", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83350P (15 November 2011); https://doi.org/10.1117/12.918122

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