基于车载视频的行人预警系统

doi:10.3969/j.issn.1006-2475.2016.11.008

计算机与现代化

基于车载视频的行人预警系统

1.安徽大学计算机科学与技术学院,安徽合肥230601；
2.中国科学院上海微系统与信息技术研究所中国科学院无线传感网与通信重点实验室，上海200050

收稿日期:2016-03-29 出版日期:2016-11-15 发布日期:2016-11-23
作者简介:胡鹏程(1992-),男,安徽含山人，安徽大学计算机科学与技术学院硕士研究生，研究方向:图像处理; 张超(1983-),男,讲师，博士,研究方向:图像处理，智能视频技术; 鲍丙计(1990-),男,硕士研究生,研究方向:图像处理。
基金资助:
中国科学院上海微系统与信息技术横向研发基金资助课题；安徽大学光电信息获取与控制教育部重点实验室开放课题(OEIAM201401)

Pedestrian Warning System Based on On-board Videos

1.School of Computer Science and Technology, Anhui University, Hefei 230601, China;
2.Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China

Received:2016-03-29 Online:2016-11-15 Published:2016-11-23

摘要/Abstract

摘要： 行车安全一直是社会生活中的研究热点问题之一，本文设计实现一种基于聚合通道特征的实时行人预警系统。系统包括行人检测模块、区域划分模块、单目测距模块和预警模块，其中行人检测模块使用聚合通道特征和级联Adaboost分类器相结合的方法构造通道金字塔，对车载视频中行人进行快速检测并获取目标关键信息和运动属性；单目测距模块利用检测时获取的信息估测人车距离；预警模块利用得到的运动信息判断前方行人的危险程度并给出相应的响应类型。通过使用城市道路条件下的实录视频进行实验，验证了系统的实时性与准确性。
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关键词: 聚合通道特征（ACF）, 预警系统, 行人检测, 区域划分, 单目测距

Abstract: Driving safety research is always one of the hot topics in social life, this paper designs and realizes a real-time pedestrian warning system based on aggregate channel features. The system includes pedestrian detection module, regional division module, monocular vision distance measurement module and warning module. The pedestrian detection module uses the method of combing aggregate channel features with cascade Adaboost classifier to construct channel pyramids, as wellas to quickly detect the pedestrian in video and obtain the key information and motion properties. The monocular vision distance measurement module estimates the distance between pedestrian and vehicle. The warning module judges the degree of danger based on the motion information and presents the response type. This paper made experiments with the record videos in urban environment, and it validated the real-time capability and accuracy of the system.
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Key words: aggregated channel features (ACF), warning system, pedestrian detection, region division, monocular vision distance measurement

中图分类号:

TP391.9

胡鹏程1,张超1,鲍丙计1,吴小培1,王营冠2. 基于车载视频的行人预警系统[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2016.11.008.

HU Peng-cheng1, ZHANG Chao1, BAO Bing-ji1, WU Xiao-pei1, WANG Ying-guan2. Pedestrian Warning System Based on On-board Videos[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2016.11.008.

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基于车载视频的行人预警系统

Pedestrian Warning System Based on On-board Videos

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