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A Codesign Approach for a High Performance Vehicle Detector

机译:高性能车辆检测器的分号方法

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A high performance architecture for an image processing application, a computer vision system for vehicle detection, is proposed in this work. The system aims to detect and count moving vehicles crossing a selected window from a video input captured by a traffic surveillance camera. The system works under a set of design constraints such as communication throughput, processing time and implementation cost on a real-time situation. The vehicle detector attains high performance on a low cost hardware/software platform, even using 2D FIR filtering, histogram thresholding and color space transformations, among others image enhancing techniques. This paper presents the development of the algorithms in a hardware/software DSP platform based on a field programmable gate array architecture, their implementation and the performance analysis on an application with real data.
机译:在这项工作中提出了一种用于图像处理应用的高性能架构,用于车辆检测的计算机视觉系统。该系统旨在检测和计数从流量监控摄像机捕获的视频输入交叉的移动车辆。该系统在一组设计约束下工作,例如通信吞吐量,处理时间和实时情况的实现成本。车辆检测器在低成本硬件/软件平台上达到高性能,即使使用2D FIR滤波,直方图阈值和颜色空间变换,其中包括图像增强技术。本文基于现场可编程门阵列体系结构,其实现和具有实际数据的应用程序的实现和性能分析,介绍了硬件/软件DSP平台中的算法的开发。

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