Computer vision in roadway transportation systems: a survey

被引:32
作者
Loce, Robert P. [1 ]
Bernal, Edgar A. [1 ]
Wu, Wencheng [1 ]
Bala, Raja [1 ]
机构
[1] Xerox Corp, Xerox Res Ctr Webster, Webster, NY 14580 USA
关键词
CAMERA CALIBRATION; MACHINE VISION; LANE DETECTION; PEDESTRIAN DETECTION; SIGN RECOGNITION; PHOTO-RADAR; VIDEO; VEHICLE; SPEED; ENFORCEMENT;
D O I
10.1117/1.JEI.22.4.041121
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
There is a worldwide effort to apply 21st century intelligence to evolving our transportation networks. The goals of smart transportation networks are quite noble and manifold, including safety, efficiency, law enforcement, energy conservation, and emission reduction. Computer vision is playing a key role in this transportation evolution. Video imaging scientists are providing intelligent sensing and processing technologies for a wide variety of applications and services. There are many interesting technical challenges including imaging under a variety of environmental and illumination conditions, data overload, recognition and tracking of objects at high speed, distributed network sensing and processing, energy sources, as well as legal concerns. This paper presents a survey of computer vision techniques related to three key problems in the transportation domain: safety, efficiency, and security and law enforcement. A broad review of the literature is complemented by detailed treatment of a few selected algorithms and systems that the authors believe represent the state-of-the-art. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
引用
收藏
页数:24
相关论文
共 199 条
[1]  
Abramczuk T., 1984, S ROAD RES PROGR
[2]   Video-based multi-agent traffic surveillance system [J].
Abreu, B ;
Botelho, L ;
Cavallaro, A ;
Douxchamps, D ;
Ebrahimi, T ;
Figueiredo, P ;
Macq, B ;
Mory, B ;
Nunes, L ;
Orri, J ;
Trigueiros, MJ ;
Violante, A .
PROCEEDINGS OF THE IEEE INTELLIGENT VEHICLES SYMPOSIUM 2000, 2000, :457-462
[3]  
Ali A., 1990, INT C AUT ROB COMP V, P875
[4]  
Ali A., 1993, P ISATA 26 INT C CRO, P609
[5]  
Ali A., 1991, 24 INT C ROAD TRANSP, P55
[6]  
Ali A. T., 1992, Parallel Processing Letters, V2, P257, DOI 10.1142/S0129626492000398
[7]   License plate recognition from still images and video sequences: A survey [J].
Anagnostopoulos, Christos-Nikolaos E. ;
Anagnostopoulos, Ioannis E. ;
Psoroulas, Ioannis D. ;
Loumos, Vassili ;
Kayafas, Eleftherios .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2008, 9 (03) :377-391
[8]  
[Anonymous], 2005, I CAR ADVANTAGE LANE
[9]  
[Anonymous], 1999, AR HO IN TR SYST LIB
[10]  
[Anonymous], 2013, ATUOCHALK DRIVE BY D