Real-Time 3D Hand Tracking from Depth Images

Abstract:

In this paper, we propose a depth image based real-time 3D hand tracking method. Our method is based on the fact that human hand is an end point of human body. Therefore, we locate human hand by finding the end point from a predicted position of hand based on the hand position of the previous frame. We iteratively grow a region around the predicted position. The end point on the major axis of the region which stops moving with region growing is selected as the final position of human hand. Experiments on Microsoft Kinect for Xbox captured sequences show the effectiveness and efficiency of our proposed method.

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 2822-2825
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.2822
• Online since: September 2013
• Authors: Lin Song, Rui Min Hu, Yu Lian Xiao, Li Yu Gong
• Keywords: 3D Image Processing, Depth Image Segmentation, Depth Images, Hand Tracking, KINECT

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