Browse > Article
http://dx.doi.org/10.3745/KIPSTB.2011.18B.3.117

Robust Vision Based Algorithm for Accident Detection of Crossroad  

Jeong, Sung-Hwan (전북대학교 컴퓨터공학과)
Lee, Joon-Whoan (전북대학교 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartB / v.18B, no.3, 2011 , pp. 117-130 More about this Journal
Abstract
The purpose of this study is to produce a better way to detect crossroad accidents, which involves an efficient method to produce background images in consideration of object movement and preserve/demonstrate the candidate accident region. One of the prior studies proposed an employment of traffic signal interval within crossroad to detect accidents on crossroad, but it may cause a failure to detect unwanted accidents if any object is covered on an accident site. This study adopted inverse perspective mapping to control the scale of object, and proposed different ways such as producing robust background images enough to resist surrounding noise, generating candidate accident regions through information on object movement, and by using edge information to preserve and delete the candidate accident region. In order to measure the performance of proposed algorithm, a variety of traffic images were saved and used for experiment (e.g. recorded images on rush hours via DVR installed on crossroad, different accident images recorded in day and night rainy days, and recorded images including surrounding noise of lighting and shades). As a result, it was found that there were all 20 experiment cases of accident detected and actual effective rate of accident detection amounted to 76.9% on average. In addition, the image processing rate ranged from 10~14 frame/sec depending on the area of detection region. Thus, it is concluded that there will be no problem in real-time image processing.
Keywords
Accident Detection of Crossroad; Traffic Accident Detection; Background Image Update;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 W. Forstner and E. Gulch, "A Fast Operator for Detection and Precise Location of Distinct Points, Corners, and Centers of Circular Features," In Ptoc. Intercommision Conf. on Fast Processing of Phtogrammetric Data, pp.281-305, 1987.
2 D. M. Ha, J. -M. Lee, Y. -D. Kim, "Neural-edge-based vehicle detection and traffic parameter extraction," Image and Vision Computing, Vol.22, pp.899-907, 2004.   DOI   ScienceOn
3 Yiyan WANG, Yuexian ZOU, Hang SHI, He ZHAO, "Video Image Detection System for Signaled Traffic Intersection," International Conference on Hybrid Intelligent System, 2009
4 정성환, 이준환, "신경망을 이용한 차량 객체의 그림자 제거," 한국ITS학회, Vol.7, No.1. pp.32-41. 2008.   과학기술학회마을
5 Andrea Prati, Inana Mikic, Mohan M. Trivedi, Rita Cucchiara, "Detecting Moving Shadow: Formulation, Algorithm and Evaluation," IEEE Transaction Pattern Analysis and Machine Intelligence, Vol.25, No.7, pp.918-923, 2003.   DOI   ScienceOn
6 Rita Cucchiara, Costantino Grana, Massimo Piccardi, Andrea Prati, Stefano Sirotti, "Improving Shadow Suppression in Moving Object Detection with HSV Color Information," Proc. IEEE Intelligent Transportation System Conference, pp.334-339. 2001.   DOI
7 Rafael C. Gonzalez, Richard E. Woods, "Digital Image Processing-Second Edition," Prentice Hall,, 2002.
8 DarShyang Lee, "Effective Gaussian Mixture Learning for Video Background Subtraction," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.27, No.5, pp. 827-832, May, 2005.   DOI   ScienceOn
9 Chee Sun Won, Dong Kwon Park, Soo Jun Park, "Efficient Use of MPEG-7 Edge Histogram Descriptor," ETRI Journal, Vol.24, No.1, pp.23-30, 2002.   과학기술학회마을   DOI   ScienceOn
10 Gianluca Antonini, Jean Philippe Thiran, "Counting Pedestrians in Video Sequence Using Trajectory Clustering," IEEE Transactions on Circuits and Sustem for Video Technology, Vol.16, No.8, 2006.   DOI   ScienceOn
11 Jae-Young Choi, Jin-Woo Choi, and Young-Kyu Yang, "Improved Tracking of Multiple Vehicles Using Invariant Feature-Based Matching," Pattern Recognition and Machine Intelligence LNCS, Vol.4815, pp.649-656, 2007.   DOI   ScienceOn
12 ZuWhan Kim, Gabriel Gomes, Robert Hranac, Alexander Sakbardonis, "A Machine Vision System for Generating Vehicle Trajectories over Extended Freeway Segments," 12th World Congress on Intelligent Transportation Systems, 2005.
13 Michael Haag, Hans-Hellmut Nagel, "Combination of Edge Element and Optical Flow Estimates for 3D-Model-Based Vehicle Tracking in Traffic Image Sequence," International Journal of Computer Vision, Vol.35, No.3, pp.295-319, 1999.   DOI
14 Dongjin Han, Matthew J. Leotta, David B. Cooper, Joseph L. Mundy, "Vehicle Class Recognition from Video based on 3D Curve Probes," 2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, pp.285-292, 2005.   DOI
15 ZuWhan Kim, "Real Time Object Tracking based on Dynamic Feature Grouping with Background Subtraction," IEEE Conference on Computer Vision and Pattern Recognition, 2008.   DOI
16 Young-Kul Ki, Dong-Young Lee, "A Traffic Accident Recording and Reporting Model at Intersections," IEEE Transaction on Intelligent Transportation System, Vol.8, No.2, 2007.   DOI   ScienceOn
17 Shunsuke Kamijo, Yasuyuki Matsushita, Katsushi Ikeuchi, Masao Sakauchi, "Traffic Monitoring and Accident Detection at Intersections," IEEE Transaction on Intelligent Transportation System, Vol.1, No.2, 2000.   DOI
18 Veeraraghavan H., Masoud O., Papanikolopoulos N.P., "Computer Vision Algorithms for Intersection Monitoring," IEEE Transactions on Intelligent Transportation Systems, Vol.4, No.2, pp.78-89, 2003.   DOI   ScienceOn
19 ZuWhan Kim, Jitendra Malik, "Fast Vehicle Detection With Probabilistic Feature Grouping and Its Application to Vehicle Tracking," IEEE International Conference On Computer Vision, Vol.1, pp.524-531, 2003.   DOI
20 이희신, 이준환, "특징점 추적을 이용한 끼어들기 위반차량 검지시스템," 한국ITS학회, Vol.8, No.2, pp.36-44, 2009.
21 이형석, 김영욱, 권대길, 박기현, 이경복, 한민홍, "영상과 음향기반의 교차로 내 교통사고 검지시스템의 구현," 제어자동화시스템공학회, Vol.10, No.6, 2004.
22 김만배, 유성준, 김완기, "교통사고 자동기록장치의 설치효과 분석," 대한전자공학회, 텔레콤, Vol. 22, No. 2, pp. 18-26, 2006.
23 정성환, 이준환, "신호등 주기를 이용한 교차로 교통사고감지 알고리즘," 한국정보처리학회, Vol.16-B, No.1, pp.17-24, 2009.   과학기술학회마을   DOI   ScienceOn