Recognition System Using Video and Infrared Information Fusion

B. Cornel
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Abstract

In the paper is presented a localization system composed of video cameras and infrared detectors. First, a localization is done by using the information obtained from video cameras, using a proper set of attributes. An uncertainty measurement is performed based on the similarity with the nearest prototype. The information delivered by the infrared detectors establish an estimation of the object's localization and the heating surface. These reinforce the video information, by using an information fusion.
基于视频和红外信息融合的识别系统
本文提出了一种由摄像机和红外探测器组成的定位系统。首先,通过使用一组适当的属性,使用从摄像机获得的信息进行定位。根据与最近原型的相似度进行不确定度测量。红外探测器传递的信息建立了物体定位和受热面的估计。这些通过使用信息融合来强化视频信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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