Recovering three dimenensional hand motions of sign language from monocular image sequence

H. Sugiyama, S. Tanahashi, Y. Aoki
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引用次数: 1

Abstract

This paper proposes a method to recover three dimensional hand motions of Japanese sign language. This method uses skin-color information and edge and difference images. In this method, joint points are determined by considering a human body consisting of hierarchical structure. Also, we attempt to spot each word from a sentence by using estimated hand motion transitions. The experimental results show the validity of the proposed method.
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从单目图像序列中恢复手语的三维手部动作
本文提出了一种日语手语三维手部动作的恢复方法。该方法利用肤色信息和边缘、差分图像。该方法通过考虑人体的层次结构来确定关节点。此外,我们试图通过估计的手部动作转换来识别句子中的每个单词。实验结果表明了该方法的有效性。
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HMM speech recognition with reduced training Recovering three dimenensional hand motions of sign language from monocular image sequence A full section overhead processing chip set for 10 Gbit/s SDH-based optical fiber transmission system Processing of sound field signal of a constrained panel by cross-correlation Non-Gaussian signal detection from multiple sensors using the bootstrap
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