首页> 外文会议>Conference on Image Processing: Algorithms and Systems III; 20040119-20040121; San Jose,CA; US >A FOCUS OF ATTENTION MECHANISM FOR GAZE CONTROL WITHIN A FRAMEWORK FOR INTELLIGENT IMAGE ANALYSIS TOOLS
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A FOCUS OF ATTENTION MECHANISM FOR GAZE CONTROL WITHIN A FRAMEWORK FOR INTELLIGENT IMAGE ANALYSIS TOOLS

机译:智能图像分析工具框架内注视控制的关注机制

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摘要

Focus of attention is often attributed to biological vision system where the entire field of view is first monitored and then the attention is focused to the object of interest. We propose using a similar approach for object recognition in a color image sequence. The intention is to locate an object based on a prior motive, concentrate on the detected object so that the imaging device can be guided toward it. We use the abilities of the intelligent image analysis framework developed in our laboratory to generate an algorithm dynamically to detect the particular type of object based on the user's object description. The proposed method uses color clustering along with segmentation. The segmented image with labeled regions is used to calculate the shape descriptor parameters. These and the color information are matched with the input description. Gaze is then controlled by issuing camera movement commands as appropriate. We present some preliminary results that demonstrate the success of this approach.
机译:注意的焦点通常归因于生物视觉系统,在该系统中,首先监视整个视野,然后将注意力聚焦到感兴趣的对象上。我们建议在彩色图像序列中使用类似的方法进行目标识别。目的是基于先前的动机来定位物体,将注意力集中在检测到的物体上,从而可以将成像设备导向该物体。我们使用实验室中开发的智能图像分析框架的功能来动态生成算法,以根据用户的对象描述来检测特定类型的对象。所提出的方法使用颜色聚类和分割。具有标记区域的分割图像用于计算形状描述符参数。这些和颜色信息与输入描述相匹配。然后视情况通过发出摄像机移动命令来控制凝视。我们提出了一些初步结果,证明了这种方法的成功。

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