Instantaneous Stop Delay Detection Based on Video

冉启武; 杨建国; 王兆安; 王忠民

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Instantaneous Stop Delay Detection Based on Video

更新时间：2025-12-08

- Instantaneous Stop Delay Detection Based on Video
- Vol. 41, Issue 6, Pages: 692-696(2007)
- 作者机构：
  
  西安交通大学电气工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.9
- Online First：10 June 2007，
  
  Published：2007
- 稿件说明：
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冉启武, 杨建国, 王兆安, et al. Instantaneous Stop Delay Detection Based on Video[J]. 2007, 41(6): 692-696.
DOI：

冉启武, 杨建国, 王兆安, et al. Instantaneous Stop Delay Detection Based on Video[J]. 2007, 41(6): 692-696. DOI：

摘要

为了给交通灯控制提供更准确的信息

提出了瞬时停车延误的基本概念和量度方法.利用视觉颜色聚类算法

通过计算道路与背景的颜色距离实现图像中车辆与背景分离

从而有效地识别车辆.以颜色距离最大值所在位置标定车辆位置

再通过帧间对比判定车辆的运行状态

最后获得引道内所有车辆的瞬时停车延误总量.对相同的场景记录

由3个独立的测试员利用人工目测方法获得瞬时停车延误总量的目测值

与算法获得的程序测量值进行比对.11个灯时的实验表明

人工目测成功率为90.9%

有90.0%的程序测试值和目测值之间的误差满足要求.

Abstract

To offer more information to the traffic lights controller

the concept of the instantaneous stop delay is defined and the corresponding measuring method is developed. The color clustering algorithm is adopted to separate the vehicles and the background from images effectively

thus all vehicle positions are identified and recorded by the maximum color distance

finally the stop delay in each frame is evaluated by comparing the differences between frames. During 11 light cycles

the success rate of manual results gets 90.9% where 90.0% meet the error requirement compared with the computer results.

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references

Mirchandani P, Head L.A real-time traffic signal control system:architecture,algorithms,and analysis[J].Transportation Research: Part C,2001,9:415-432.

杨建国,尹旭全,方丽,等.基于自适应轮廓匹配的视频运动车辆检测和跟踪[J].西安交通大学学报,2005,40(4):351-355.

Yang Jianguo,Yin Xuquan,Fang Li,et al. Moving vehicle detection and tracking based on video of self-adaptive contour matching[J].Journal of Xi'an Jiaotong University,2005,40(4):351-355.

Miyahara M.Mathematical transform of(R,G,B)color data to munsell(H,V,C)color data[J].SPIE Visual Communications and Image Processing,1988,1001:650-657.

Gong Y H,Proietti G.Image indexing and retrieval based on human perceptual color clustering [C]∥Proceedings of 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Senta Barbara, USA:IEEE, 1998:578-583.

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