Road-traffic monitoring by knowledge-driven static and dynamic image analysis

被引:46
作者
Fernandez-Caballero, Antonio [1 ,2 ]
Gomez, Francisco J. [1 ,2 ]
Lopez-Lopez, Juan [2 ]
机构
[1] Univ Castilla La Mancha, Dept Sistemas Informat, Escuela Politen Super Albacete, Mancha 02071, Spain
[2] Univ Castilla La Mancha, Dept Sistemas Inforamt, I3A, Albacete 02071, Spain
关键词
motion segmentation; image analysis; motion estimation; road-traffic monitoring; vehicle classification; vehicle tracking;
D O I
10.1016/j.eswa.2007.07.017
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article presents a visual application which allows a study and analysis of traffic behavior on major roads (more specifically free-ways and highways), using as the main Surveillance artefact a video camera mounted oil a relatively high place (such as a bridge) with a significant image analysis field. The system described presents something new which is the combination of both traditional traffic monitoring systems, that is, monitoring to get information on different traffic parameters and monitoring to detect accidents automatically. Therefore, we present a system in charge of compiling information oil different traffic parameters. It also has a surveillance module for that traffic, which can detect a wide range of the most significant incidents oil a freeway or highway. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:701 / 719
页数:19
相关论文
共 42 条
[1]  
Abramczuk T., 1984, S ROAD RES PROGR TOK
[2]  
Ali A. T., 1992, Parallel Processing Letters, V2, P257, DOI 10.1142/S0129626492000398
[3]  
ALI AT, 1991, P ISATA 24 INT C ROA, P24
[4]  
[Anonymous], INTELLIGENT TRANSPOR
[5]   Segmenting traffic scenes from grey level and motion information [J].
Badenas J. ;
Bober M. ;
Pla F. .
Pattern Analysis & Applications, 2001, 4 (1) :28-38
[6]   Motion-based segmentation and region tracking in image sequences [J].
Badenas, J ;
Sanchiz, JM ;
Pla, F .
PATTERN RECOGNITION, 2001, 34 (03) :661-670
[7]  
BARNI M, 1998, WORKSH ADV VID BAS S, P58
[8]  
BEYMER B, 1997, COMPUTER VISION PATT, P495
[9]  
BLOSSEVILLE JM, 1989, IEEE 2 INT C ROAD MO, P84
[10]  
BLOSSEVILLE JM, 1990, IMAGE PROCCSSING TRA