如何用手势描述语言解决常见的人类动作识别用例

T. Hachaj
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引用次数: 0

摘要

本文的主要新颖之处在于解释了在典型的动作识别场景中经常出现的几个常见用例。这些场景的选择是基于我自己在动作识别方面的实践,它们也显示了我认为使用手势描述语言(Gesture Description Language, GDL)进行各种动作识别任务的最有效的方法。本文实验准备所用的所有资源:动作捕捉数据、GDL脚本代码和GDL Studio(用于动作捕捉、编辑和分类的应用程序)均为开源资源。因此,整个解决方案可以很容易地应用于科学实验和工业应用。本文还阐述了GDL理论和实践中的重要问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How to Solve Common Human Actions Recognition Use Cases with Gesture Description Language
The main novelty of this paper is explanation of several common use cases that often appears in typical action recognition scenarios. The choice of those scenarios is based on my own practice in action recognition and they also show in my opinion the most effective way of using Gesture Description Language (GDL) for various tasks of action recognition. All resources that were used to prepare experiments described in this paper: motion capture data, GDL script codes and GDL Studio (an application for motion capture, editing and classification) are open sources. Due to this the whole solution might be easily applied to scientific experiments and industrial applications. This paper also explains the important issues of GDL theory and practice.
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