基于高速公路交通图像的安全带自动识别算法

doi:10.3969/j.issn.1006-2475.2014.05.026

计算机与现代化

基于高速公路交通图像的安全带自动识别算法

1.广东新粤交通投资有限公司,广东广州510006；2.东莞理工学院计算机学院,广东东莞523000；
3.惠州学院科技处，广东惠州516007；4.华南理工大学软件学院，广东广州510006

收稿日期:2014-02-24 出版日期:2014-05-28 发布日期:2014-05-30
作者简介:石时需(1974-)，男，湖北大冶人,广东新粤交通投资有限公司高级工程师,博士,研究方向:智能交通。
基金资助:
国家自然科学基金资助项目(61370102); 广东省自然科学基金资助项目(S2012010010613); 广东省交通运输厅科技项目(2011-02-095); 广州市珠江科技新星项目（2012J2200007）; 东莞市高等院校科研机构科技计划项目(2011108102015,2012108102035,2012108102007); 清远市产学研项目(2012D021212005); 江门市科技计划项目(2011010050525)

Seatbelt Automatic Recognition Algorithm Based on Highway Traffic Image

1. Guangdong Xinyue Transportation Investment Co. Ltd., Guangzhou 510006, China; 
2. School of Computer, Dongguan University of Technology, Dongguan 523000, China; 
3.Science and Technology Department, Huizhou University, Huizhou 516007, China; 
4. School of Software Engineering, South China University of Technology, Guangzhou 510006, China

Received:2014-02-24 Online:2014-05-28 Published:2014-05-30

摘要/Abstract

摘要： 提出一种高速公路上机动车司机和前排乘客系安全带情况的自动识别算法。算法输入源于高速公路交通信息共享与诱导系统中的机动车行驶照片。本文算法利用车牌定位技术、人脸检测技术、安全带识别技术从图像中发现特定的机动车，并对其中司机和前排乘客系安全带事件进行识别，从而判断该图像中的车辆是否有交通违规情况。实验结果表明，本识别算法可行、有效。
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关键词: 安全带自动识别, 道路安全监控, 车牌定位, 机动车乘客定位

Abstract: This study presents an algorithm to automatically recognize the seatbelt wearing of the driver and the front passenger on highway. The input of the proposed algorithm is the vehicle image from the highway traffic information. The algorithm uses license plate location, face detection and seatbelt detection to detect the object vehicle and recognize whether the driver and the front passenger wear the seatbelt. The output of the algorithm is used to check the seatbelt incident based on the image. The experimental results indicate the proposed algorithm achieves a feasible and valid result for application.
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Key words: automatic recognition of seatbelt, road safety monitoring, license plate location, passenger location
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中图分类号:

TP391.41

石时需1,秦勇2,蔡昭权3,周剑斌4,黄翰4. 基于高速公路交通图像的安全带自动识别算法[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2014.05.026.

SHI Shi-xu1, QIN Yong2, CAI Zhao-quan3, ZHOU Jian-bin4, HUANG Han4. Seatbelt Automatic Recognition Algorithm Based on Highway Traffic Image[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2014.05.026.

参考文献［17］

［1］	Ma S, Li Q, Zhou M, et al. Road traffic injury in China: A review of national data sources［J］. Traffic Injury Prevention, 2012,13(sup1):57-63.
［2］	Zhang W, Tsimhoni O, Sivak M, et al. Road safety in China: Analysis of current challenges［J］. Journal of Safety Research, 2010,41(1):25-30.
［3］	Levy U.Vision-Based Seat Belt Detection System：US， 11/675,101［P］. 2007-08-02.
［4］	Guo H W, Lin H, Zhang S H, et al. Image-based seat belt detection［C］// 2011 IEEE International Conference on Vehicular Electronics and Safety. 2011:161-164.
［5］	Zhang H, Jia W, He X, et al. Learning-based license plate detection using global and local features［C］// Proceedings of International Conference on Pattern Recognition. 2006:112-1105.
［6］	Porikli F, Kocak T. Robust license plate detection using covariance descriptor in a neural network framework［C］// Proceedings of the IEEE International Conference on Video and Signal Based Surveillance, 2006. 2006:107.
［7］	Zheng D, Zhao Y, Wang J. An efficient method of license plate location［J］. Pattern Recognition Letters, 2005,26(15):2431-2438.
［8］	Anagnostopoulos C N E, Anagnostopoulos I E, Loumos V, et al. A license plate-recognition algorithm for intelligent transportation system applications［J］. IEEE Transactions on Intelligent Transportation Systems, 2006,7(3):377-392.
［9］	Duda R O, Hart P E. Use of the Hough transformation to detect lines and curves in pictures［J］. Communications of the ACM, 1972，15(1):11-15.
［10］	von Gioi R G, Jakubowicz J, Morel J M, et al. LSD: A fast line segment detector with a false detection control［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010,32(4):722-732.
［11］	Patraucean V, Gurdjos P, von Gioi R G. A parameterless line segment and elliptical arc detector with enhanced ellipse fitting［C］// Proceedings of the 12th European Conference on Computer Vision. 2012,2:572-585.
［12］	He N, Cao J, Song L. Scale space histogram of oriented gradients for human detection ［C］// International Symposium on Information Science and Engineering, 2008. 2008,2:167-170.
［13］	Wang Q J, Zhang R B. LPP-HOG: A new local image descriptor for fast human detection［C］// IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, 2008. 2008:640-643.
［14］	Zuiderveld K. Contrast limited adaptive histogram equalization［M］// Graphics Gems IV. 1994:474-485.
［15］	Zhao Y, Georganas N D, Petriu E M. Applying contrast-limited adaptive histogram equalization and integral projection for facial feature enhancement and detection［C］// 2010 IEEE Instrumentation and Measurement Technology Conference. 2010:861-866.
［16］	Yang J, Zhang L, Yang J Y, et al. From classifiers to discriminators: A nearest neighbor rule induced discriminate analysis［J］. Pattern Recognition, 2011,44(7):1387-1402.
［17］	He L, Yang X, Hao Z. An adaptive class pairwise dimensionality reduction algorithm［J］. Neural Computing and Applications, 2013,23(2):299-310.

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[2]	刘双才. 一种精确高效车牌定位算法[J]. 计算机与现代化, 2010, 1(6): 21-0022.

基于高速公路交通图像的安全带自动识别算法

Seatbelt Automatic Recognition Algorithm Based on Highway Traffic Image

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基于高速公路交通图像的安全带自动识别算法

Seatbelt Automatic Recognition Algorithm Based on Highway Traffic Image

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