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Orthogonal Gradient-Based Binary Image Representation for Vehicle Detection

机译:基于正交梯度的车辆检测二进制图像表示

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The paper presents a novel method of image conversion into binary representation. This method of image conversion is based on small orthogonal image gradients. The input image sequence consist of consecutive frames taken from the video stream obtained from the camera placed over a road. Images from the input image sequence are processed separately into binary image representation. Layout of logical values of binary image representation is in accordance with edges of objects comprised in the source image. Vehicle detection is performed by the analysis of changes of the detection field state. The state of the detection field is determined on the basis of appropriate sums of logical values calculated within the detection field. The proposed method of image conversion into binary representation is efficient and attractive computationally. Gradient-based binary image representation is intended for application in road traffic systems. Experimental results are provided.
机译:本文提出了一种将图像转换为二进制表示的新颖方法。这种图像转换方法基于小的正交图像梯度。输入图像序列由连续的帧组成,这些连续的帧取自从放置在道路上的摄像机获得的视频流。来自输入图像序列的图像将分别处理为二进制图像表示形式。二进制图像表示的逻辑值的布局与源图像中包含的对象的边缘一致。通过分析检测场状态的变化来执行车辆检测。基于在检测场内计算的逻辑值的适当总和来确定检测场的状态。所提出的将图像转换为二进制表示的方法是有效的并且在计算上具有吸引力。基于梯度的二进制图像表示旨在用于道路交通系统。提供了实验结果。

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