A head pose tracking system using RGB-D camera

Authors:
Songnan Li;King Ngi Ngan;Lu Sheng
Affiliations:
The Chinese University of Hong Kong, Hong Kong SAR;The Chinese University of Hong Kong, Hong Kong SAR;The Chinese University of Hong Kong, Hong Kong SAR
Venue:
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Year:
2013

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Abstract

In this paper, a fast head pose tracking system is introduced. It uses iterative closest point algorithm to register a dense face template to depth data captured by Kinect. It can achieve 33fps processing speed without specific optimization. To improve tracking robustness, head movement prediction is applied. We propose a novel scheme that can train several simple predictors together, enhancing the overall prediction accuracy. Experimental results confirm its effectiveness for head movement prediction.