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Agent-Based Motion Control Method For Human Animation

机译:基于Agent的人类动画运动控制方法

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摘要

This paper proposes a control method designed for human character animation using agent technology. The coordinating the motion between human characters causes various issues in communication, interaction, cooperation, and coherence. These issues are not adequately dealt with in many existing animation development systems for human character. Based on this categorization, our system extracts the control information for motion by interchanging messages between human characters using agent concept. The relations of each motion performed by each human character are not expressed explicitly in the message, which means system has to guess the control information about the motion relation between human characters. In order to determine what the motion of human character is and to extract detailed information about other human character, the system uses a Petri-net analysis model that contains all the information about the motion animation of human character in virtual environment. The system can estimate the situation of a human character based on the state transition that are explained in the Finite State Machine, and then can extract information about each human character such as its position, motion data, and the moving path. This information is used for determining details to control the motion of the each human character. The system supports an excellent service platform about human character animation. This paper addresses a merit that is obtained by developing such an agent-based system.
机译:提出了一种利用代理技术设计用于人物动画的控制方法。人物角色之间的协调动作会导致沟通,互动,合作和连贯性方面的各种问题。在许多现有的人类角色动画开发系统中,这些问题没有得到充分解决。基于此分类,我们的系统使用代理概念通过在人物之间交换消息来提取运动的控制信息。消息中没有明确表达每个人物角色执行的每个动作的关系,这意味着系统必须猜测有关人物角色之间的动作关系的控制信息。为了确定人物运动是什么并提取有关其他人物的详细信息,系统使用Petri网分析模型,该模型包含有关虚拟环境中人物运动动画的所有信息。该系统可以基于有限状态机中解释的状态转换来估计人物角色的状况,然后可以提取有关每个人物角色的信息,例如其位置,运动数据和移动路径。该信息用于确定细节,以控制每个人类角色的动作。该系统支持有关人物动画的出色服务平台。本文探讨了通过开发基于代理的系统所获得的优点。

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