Multiple people gesture recognition for human-robot interaction

Authors:
Seok-Ju Hong;Nurul Arif Setiawan;Chil-Woo Lee
Affiliations:
Intelligent Image Media & Interface Lab, Department of Computer Engineering, Chonnam National University, Gwangju, Korea;Intelligent Image Media & Interface Lab, Department of Computer Engineering, Chonnam National University, Gwangju, Korea;Intelligent Image Media & Interface Lab, Department of Computer Engineering, Chonnam National University, Gwangju, Korea
Venue:
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Year:
2007

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Abstract

In this paper, we propose gesture recognition in multiple people environment. Our system is divided into two modules: Segmentation and Recognition. In segmentation part, we extract foreground area from input image, and we decide the closest person as a recognition subject. In recognition part, firstly we extract feature point of subject's both hands using contour based method and skin based method. Extracted points are tracked using Kalman filter. We use trajectories of both hands for recognizing gesture. In this paper, we use the simple queue matching method as a recognition method. We also apply our system as an animation system. Our method can select subject effectively and recognize gesture in multiple people environment. Therefore, proposed method can be used for real world application such as home appliance and humanoid robot.