一种智能图像处理传感器——算法及硬件实现

M. Wójcikowski, R. Zaglewski, B. Pankiewicz
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引用次数: 5

摘要

本文描述了一种鲁棒算法的思想和实现,该算法致力于从实时摄像机图像中提取移动车辆,用于评估交通参数,如车辆数量、移动方向和近似速度。作者除了对硬件实现算法的具体步骤进行了精心选择外,还提出了新的改进,从而提高了鲁棒性和效率。使用一台固定的单色相机,进行简单的阴影和高光消除。由于将相机放置在高于道路的位置,因此没有考虑遮挡。该算法是在FPGA的流水线硬件上设计和实现的,因此达到了较高的帧率效率。提出的算法及其实现的可能应用是在低功耗、低成本的传感器网络应用中的智能图像处理传感器领域,即用于检测道路上的移动车辆。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An intelligent image processing sensor - the algorithm and the hardware implementation
This paper describes the idea and the implementation of the robust algorithm dedicated to extraction of moving vehicles from real-time camera images for the evaluation of traffic parameters, such as the number of vehicles, their direction of movement and their approximate speed. The authors, apart from the careful selection of particular steps of the algorithm towards hardware implementation, also proposed novel improvements, resulting in increasing the robustness and the efficiency. A single, stationary, monochrome camera is used, simple shadow and highlight elimination is performed. The occlusions are not taken into account, due to placing the camera at a location high above the road. The algorithm is designed and implemented in pipelined hardware in FPGA, therefore high frame-rate efficiency has been achieved. The possible applications of the proposed algorithm and its implementation are in the area of intelligent image processing sensors in low-power, cost-effective sensor network applications, i.e. for detecting the moving vehicles on the road.
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