Hand tracking and application in map navigation

Authors:
Yikai Fang;Xiujuan Chai;Lei Xu;Kongqiao Wang
Affiliations:
Nokia Research Center, Beijing, China;Chinese Academy of Sciences, Beijing, China;Nokia Research Center, Beijing, China;Nokia Research Center, Beijing, China
Venue:
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Year:
2009

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Abstract

Hand tracking is an important component in most practical gesture interaction. Due to background variety, illumination changes and aiticulate shape, it's difficult for current conventional vision based methods to obtain accurate results. In this paper, an automatic hand tracking and segmentation method based on depth information is proposed. Hand depth is determined adaptively and then accurate hand region is obtained. In this manner, accurate hand tracking is realized with very low time consumption and regardless of the complex background and various illuminations. Moreover, based on the real-time hand tracking, a robust dynamic gesture recognition strategy is described. Considering the geometric characters, the gestures are classified according to the trajectory fitting and matching with the predefined patterns. Experiments show the effectiveness of the hand tracking and dynamic gesture recognition. Furthermore, a concrete application scenario, gesture controlled map navigation, is implemented with good interaction usability.