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Detection algorithm for color dynamic images by multiple surveillance cameras under low luminance conditions based on fuzzy corresponding map

机译:基于模糊对应图的低照度条件下多台监控摄像机彩色动态图像检测算法

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摘要

An objects detection algorithm for color dynamic images from two cameras is proposed for a surveillance system under low illumination. It provides automatic calculation of a fuzzy corresponding map and color similarity for lower luminance conditions, which detects little chromatic regions in CCD camera images under lower illumination and presents regions with a possibility of occlusion situation. Experimental detection results for two dynamic images from real surveillance cameras in a downtown area in Japan under low luminance conditions show that the proposed algorithm has 15% improved accuracy compared with the independent detection algorithm in the same false alarm rate, which occlusion regions are correctly presented. Moreover, implementability for severe surveillance situation is discussed. The proposed algorithm is being considered for use in a low cost surveillance system at a relatively poor security downtown (shopping mall) area in Japan.
机译:针对低照度的监控系统,提出了一种针对两台摄像机的彩色动态图像的目标检测算法。它为低照度条件提供了模糊对应图和颜色相似度的自动计算,可以在较低照度下检测CCD摄像机图像中很少的色域,并呈现可能发生遮挡的区域。在日本市区低照度条件下对来自真实监控摄像机的两个动态图像的实验检测结果表明,在相同的误报率下,与独立检测算法相比,该算法的准确度要高出15%,并能正确呈现遮挡区域。此外,讨论了严重监视情况的可实施性。在日本安全性相对较差的市中心(购物中心)地区,该算法被认为可用于低成本监视系统。

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