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http://dx.doi.org/10.6109/jkiice.2014.18.11.2727

Detection Accuracy Improvement of Hang Region using Kinect  

Kim, Heeae (Department of Computer Information Engineering, Kunsan National University)
Lee, Chang Woo (Department of Computer Information Engineering, Kunsan National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.11, 2014 , pp. 2727-2732 More about this Journal
Abstract
Recently, the researches of object tracking and recognition using Microsoft's Kinect are being actively studied. In this environment human hand detection and tracking is the most basic technique for human computer interaction. This paper proposes a method of improving the accuracy of the detected hand region's boundary in the cluttered background. To do this, we combine the hand detection results using the skin color with the extracted depth image from Kinect. From the experimental results, we show that the proposed method increase the accuracy of the hand region detection than the method of detecting a hand region with a depth image only. If the proposed method is applied to the sign language or gesture recognition system it is expected to contribute much to accuracy improvement.
Keywords
Kinect; Depth Image; Hand Region Detection; Skin Color;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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