首页> 外文期刊>Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic >Fisheye lens camera based surveillance system for wide field of view monitoring
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Fisheye lens camera based surveillance system for wide field of view monitoring

机译:基于鱼眼镜头摄像机的监视系统,用于宽视场监视

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This paper presents a fisheye lens camera based surveillance system for wide area monitoring. The proposed system consists of: (i) digital anamorphic transformation, (ii) two layer panorama generation, and (iii) geometric transform invariant object detection and tracking for the fisheye camera based system. Since peripheral regions of acquired images are not used in the fisheye lens based imaging system, the proposed algorithm transforms a circular fisheye lens image into an anamorphic image using directional interpolation to maximize the usage of lost regions. In detecting and tracking objects, the proposed algorithm adopts a region based approach to provide robust feature points and object shapes against to various tracking challenges including geometric transformation, sub sampling, interpolation, and dynamic illumination. Experimental results demonstrate that the proposed method can successfully detect and track moving objects in the very wide field of view without using multiple cameras or an optical anamorphic lens (C) 2016 Elsevier GmbH. All rights reserved.
机译:本文提出了一种基于鱼眼镜头摄像机的监视系统,用于广域监视。所提出的系统包括:(i)数字变形变换,(ii)两层全景图生成,以及(iii)基于鱼眼镜头的系统的几何变换不变对象检测和跟踪。由于获取的图像的外围区域未在基于鱼眼镜头的成像系统中使用,因此该算法使用方向插值将圆形鱼眼镜头图像转换为变形图像,以最大程度地利用丢失区域。在检测和跟踪对象时,所提出的算法采用基于区域的方法来提供鲁棒的特征点和对象形状,以应对各种跟踪挑战,包括几何变换,子采样,插值和动态照明。实验结果表明,该方法无需使用多台摄像机或光学变形透镜(C)2016 Elsevier GmbH,即可在非常宽的视野中成功检测和跟踪运动对象。版权所有。

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