Approximate vehicle waiting time estimation using adaptive video-based vehicle tracking

被引:0
作者
Li, Li [1 ]
Wang, Fei-Yue
机构
[1] Univ Arizona, Tucson, AZ 85719 USA
[2] Chinese Acad Sci, Beijing 100080, Peoples R China
来源
ADVANCES IN MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS | 2006年 / 4153卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
During the last two decades, significant research efforts had been made in developing vision-based automatic traffic monitoring systems in order to improve driving efficiency and reduce traffic accidents. This paper presents a practical vehicle waiting time estimation method using adaptive video-based vehicle tracking method. Specifically, it is designed to deal with lower image quality, inappropriate camera positions, vague lane/road markings and complex driving scenarios. The spatio-temporal analysis is integrated with shape hints to improve performance. Experiment results show the effectiveness of the proposed approach.
引用
收藏
页码:105 / 114
页数:10
相关论文
共 50 条
  • [41] A Video-Based System for Vehicle Speed Measurement in Urban Roadways
    Luvizon, Diogo Carbonera
    Nassu, Bogdan Tomoyuki
    Minetto, Rodrigo
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (06) : 1393 - 1404
  • [42] New method of background update for video-based vehicle detection
    He, ZW
    Liu, JL
    Li, PH
    ITSC 2004: 7TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, PROCEEDINGS, 2004, : 580 - 584
  • [44] A Video-Based Method for Vehicle Counting Based on Motion and Color Features
    Chen, Yue
    Lu, Jian
    2021 9TH INTERNATIONAL CONFERENCE ON TRAFFIC AND LOGISTIC ENGINEERING (ICTLE), 2021, : 41 - 45
  • [45] Efficient Video-based Vehicle Queue Length Estimation using Computer Vision and Deep Learning for an Urban Traffic Scenario
    Umair, Muhammad
    Farooq, Muhammad Umar
    Raza, Rana Hammad
    Chen, Qian
    Abdulhai, Baher
    PROCESSES, 2021, 9 (10)
  • [46] Video-based Automatic Transit Vehicle Ingress/Egress Counting using Trajectory Clustering
    Cheng, Guangchun
    Huang, Yan
    Mirzaei, Arash
    Buckles, Bill P.
    Yang, Hua
    2014 IEEE INTELLIGENT VEHICLES SYMPOSIUM PROCEEDINGS, 2014, : 827 - 832
  • [47] Vehicle detection and tracking in video
    Rajagopalan, AN
    Chellappa, R
    2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS, 2000, : 351 - 354
  • [48] Real time web based vehicle tracking using GPS
    Muruganandham, P.R. Mukesh
    World Academy of Science, Engineering and Technology, 2010, 37 : 91 - 99
  • [49] A video-based vehicle counting system using an embedded device in realistic traffic conditions
    Luecking, Markus
    Rivera, Esteban
    Kohout, Lukas
    Zimmermann, Christoph
    Polad, Duygu
    Stork, Wilhelm
    2020 IEEE 6TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT), 2020,
  • [50] Vehicle detection and tracking using acoustic and video sensors
    Chellappa, R
    Qian, G
    Zheng, QF
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PROCEEDINGS: IMAGE AND MULTIDIMENSIONAL SIGNAL PROCESSING SPECIAL SESSIONS, 2004, : 793 - 796