基于HSV颜色变换模板图像的车辆位置检测研究

IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211) Pub Date : 2001-10-07 DOI:10.1109/VTC.2001.956864

Hiroaki Fukui, T. Hasegawa

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引用次数: 2

摘要

车辆位置识别是智能交通系统的重要组成部分。本文提出了一种小俯角交通流图像的车辆位置检测方案。它使用模板图像在HSV(色调，饱和度和值)颜色变换中分成几个颜色区域，以减少计算复杂度。最后，该系统主要用于车辆位置的估计。但是在初始模板生成模块中生成的初始模板会影响检测性能。

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A study on detection of vehicles' positions using HSV color transformed template images

Position recognition of vehicles is important in ITS (intelligent transport system). This paper describes a vehicle position detection scheme for traffic flow images with a small depression angle. It uses template images divided into several color regions in the HSV (hue, saturation and value) color transform to reduce computational complexity. Finally, this proposed system has mostly performed in estimation of the vehicles' positions. However, the initial templates generated in the initial template generation module affects the detection performance.

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IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211)

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