首页> 外文会议>Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on >Appearance based object identification for distributed vision sensors in intelligent space
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Appearance based object identification for distributed vision sensors in intelligent space

机译:智能空间中基于外观的分布式视觉传感器目标识别

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Robots would be able to coexist with humans and support humans effectively in near future. We proposed the intelligent space in order to achieve such human-centered system. The intelligent space is the space where many intelligent devices, such as computers and sensors, are distributed. The intelligent space achieves the human centered services by accelerating the physical and psychological interaction between humans and intelligent devices. As an intelligent device of the intelligent space, a color CCD camera module, which includes processing and networking part, has been chosen. The intelligent space requires functions of identifying and tracking the multiple objects to realize appropriate services to users under the multi-camera environments. In order to achieve seamless tracking and location estimation, many camera modules are distributed. They cause some errors about object identification among different camera modules. This paper describes appearance based object identification for the distributed vision system in intelligent space to achieve consistent labeling of unknown objects. First, we discuss how to obtain the object color information for constructing the color appearance based model. Then, we propose the global color model based on the color information for the object identification.
机译:机器人将能够与人类共存并在不久的将来有效地支持人类。为了实现这种以人为本的系统,我们提出了智能空间。智能空间是分布许多智能设备(例如计算机和传感器)的空间。智能空间通过加速人与智能设备之间的身心互动来实现以人为本的服务。作为智能空间的智能设备,已选择了包括处理和联网部分的彩色CCD摄像机模块。智能空间需要识别和跟踪多个对象的功能,以在多摄像机环境下为用户提供适当的服务。为了实现无缝的跟踪和位置估计,分布了许多相机模块。它们会导致有关不同相机模块之间的物体识别的一些错误。本文描述了智能空间中分布式视觉系统的基于外观的对象识别,以实现对未知对象的一致标记。首先,我们讨论如何获取对象颜色信息以构建基于颜色外观的模型。然后,我们提出了基于颜色信息的全局颜色模型,用于对象识别。

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