A hand posture recognition system utilizing frequency difference of infrared light

Soonchan Park, Moonwook Ryu, Ju Yong Chang, Jiyoung Park
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引用次数: 4

Abstract

Hand gesture is one of the most effective methods to perform interactions between humans and also between humans and computers. However, currently existing depth cameras do not provide sufficient resolution and precision for effectively recognizing hand postures in distance (>2 meters). Existing researches tried to solve the limitation by using a combination of depth information and color information. However, they all could not have stable performance, because the color information is naturally affected by visible light condition. In this paper, we introduce a hardware system and an algorithm to recognize hand postures of a distant user while guaranteeing its performance even in the dark. Specifically, by utilizing infrared(IR) lights and their frequency difference, our system simultaneously gathers a depth map from Kinect and a high resolution IR image of a scene from an additional IR camera without any interference. The system analyzes the IR image of a hand using histogram of oriented gradients and support vector machine. In addition, the recognition system has a technique to compensate errors of hand position estimation unavoidable in any hand detection algorithms. As a result, from the experiment on real-time data, the proposed system classifies seven different hand postures with an average precision rate of 92.17% and the precision rate is maintained in the dark (<5 lux) with an average precision rate of 93.28%.
一种利用红外光频差的手部姿势识别系统
手势是人与人之间以及人与计算机之间进行交互的最有效的方法之一。然而,现有的深度相机无法提供足够的分辨率和精度来有效识别距离(bb0 - 2米)的手势。现有的研究试图通过深度信息和颜色信息的结合来解决这一局限性。然而,它们都不可能具有稳定的性能,因为颜色信息自然受到可见光条件的影响。在本文中,我们介绍了一个硬件系统和一种算法来识别远端用户的手势,同时保证其在黑暗中的性能。具体来说,通过利用红外线(IR)灯和它们的频率差异,我们的系统可以同时收集来自Kinect的深度图和来自额外红外相机的高分辨率红外图像,而不会受到任何干扰。该系统利用方向梯度直方图和支持向量机对手红外图像进行分析。此外,该识别系统还对任何手部检测算法中不可避免的手部位置估计误差进行了补偿。结果表明,在实时数据实验中,该系统对7种不同的手势进行分类,平均准确率为92.17%,在黑暗(<5 lux)条件下,平均准确率保持在93.28%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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