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Color Appearance Based Object Identification in Intelligent Space

机译:基于颜色的智能空间的对象识别

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Robots will 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 phisical 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-cemera environments. In order to achieve seamless tracking and location estimation many camera modules are distributed. They causes some errors about object identification among different camera modules. This paper describs appearance based object representation for the distributed vision system in Intelligent Space to achieve consistent labeling of all objects. Then, we discuss how to learn the object color appearance model and how to achieve the multi-object tracking under occlusions.
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。我们提出了智能空间,以实现这样的人以人为本的系统。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触控和心理互动来实现人为的服务。作为智能空间的智能设备,已经选择了包括处理和网络部分的彩色CCD相机模块。智能空间需要函数识别和跟踪多个对象以实现对多CEMA环境下的用户的适当服务。为了实现无缝的跟踪和位置估计,分布了许多相机模块。它们会导致不同的相机模块之间的对象识别误差。本文介绍了基于外观的智能空间中分布式视觉系统的对象表示,以实现所有对象的一致标记。然后,我们讨论如何学习对象颜色外观模型以及如何在遮挡下实现多目标跟踪。

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