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aSpaces: Action Spaces for Recognition and Synthesis of Human Actions

机译:aSpaces:识别和合成人类动作的动作空间

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摘要

Human behavior analysis is an open problem in the computer vision community. The aim of this paper is to model human actions. We present a taxonomy in order to discuss about a knowiedge-based classification of human behavior. A novel human action model is presented, called the aSpace, based on a Point Distribution Model (PDM). This representation is compact, accurate and specific. The human body model is represented as a stick figure, and several sequences of humans actions are used to compute the aSpace. In order to test our action representation, two applications are provided: recognition and synthesis of actions.
机译:人类行为分析是计算机视觉界的一个悬而未决的问题。本文的目的是为人类行为建模。我们提出一种分类法,以便讨论基于知识的人类行为分类。基于点分布模型(PDM),提出了一种新颖的人类行为模型,称为aSpace。这种表示是紧凑,准确和特定的。人体模型被表示为简笔画,并且使用了多个人类动作序列来计算aSpace。为了测试我们的动作表示,提供了两个应用程序:动作的识别和综合。

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