Moving vehicle detection, tracking and traffic parameter estimation from a satellite video: a perspective on a smarter city

被引:56
|
作者
Ahmadi, Seyed Ali [1 ]
Ghorbanian, Arsalan [1 ]
Mohammadzadeh, Ali [1 ]
机构
[1] KN Toosi Univ Technol, Fac Geodesy & Geomat Engn, Tehran, Iran
关键词
TRAJECTORY EXTRACTION; AERIAL;
D O I
10.1080/01431161.2019.1610983
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Satellite remote sensing is undergoing a revolution in terms of sensors and temporal coverage. The possibility of acquiring earth's surface video from space provides an opportunity to investigate broader applications of remote sensing. High-resolution spaceborne videos can become a vital factor in earth observation. Temporally continuous tracking of moving objects, i.e. vehicles, vessels, or even military equipment on Earth's surface demands high spatial resolution satellite videos. Detecting moving vehicles in the urban areas from space video can lead governments to a new era of traffic monitoring. Satellite videos will find many applications in the field of traffic monitoring. In this article, first, moving vehicles are detected using background subtraction with 94.7% accuracy. Afterwards, vehicles' trajectories, average velocities, dynamic velocities, and space-time diagram are estimated and trajectories are classified based on velocities. Finally, the total frame traffic density is computed.
引用
收藏
页码:8379 / 8394
页数:16
相关论文
共 50 条
  • [1] Satellite Video Moving Vehicle Detection and Tracking Based on Spatiotemporal Characteristics
    Li, Ming
    Fan, Dazhao
    Dong, Yang
    Li, Dongzi
    [J]. SENSORS, 2023, 23 (12)
  • [2] TRAFFIC VIDEO-BASED MOVING VEHICLE DETECTION AND TRACKING IN THE COMPLEX ENVIRONMENT
    Gao, Tao
    Liu, Zheng-Guang
    Yue, Shi-Hong
    Mei, Jian-Qiang
    Zhang, Jun
    [J]. CYBERNETICS AND SYSTEMS, 2009, 40 (07) : 569 - 588
  • [3] An Algorithm for Moving Vehicle Detection Based on Traffic Video
    Zhu, Shisong
    Gu, Min
    Liu, Jing
    [J]. ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3, 2013, 278-280 : 1292 - 1296
  • [4] Moving Vehicle Detection and Tracking Based on Video Sequences
    Wang, Xue
    [J]. TRAITEMENT DU SIGNAL, 2020, 37 (02) : 325 - 331
  • [5] Tracking and Speed Estimation of Moving Vehicle for Traffic Surveillance System
    Kamakula, Kamaraju
    Rani, J. Sharmila
    Santhosi, G.
    Pushpa, G. Gowri
    [J]. PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION TECHNOLOGIES, IC3T 2015, VOL 3, 2016, 381 : 673 - 679
  • [6] Traffic Congestion Estimation using Video without Vehicle Tracking
    Siswoyo, Antony A.
    Joelianto, Endra
    Sutarto, Herman Y.
    [J]. INTERNETWORKING INDONESIA, 2022, 14 (01): : 33 - 37
  • [7] Small Moving Vehicle Detection in a Satellite Video of an Urban Area
    Yang, Tao
    Wang, Xiwen
    Yao, Bowei
    Li, Jing
    Zhang, Yanning
    He, Zhannan
    Duan, Wencheng
    [J]. SENSORS, 2016, 16 (09):
  • [8] Airborne Moving Vehicle Detection for Video Surveillance of Urban Traffic
    Lin, Renjun
    Cao, Xianbin
    Xu, Yanwu
    Wu, Changxia
    Qiao, Hong
    [J]. 2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1 AND 2, 2009, : 203 - 208
  • [9] Robust Detection and Tracking of Moving Objects in Traffic Video Surveillance
    Antic, Borislav
    Castaneda, Jorge Oswaldo Nino
    Culibrk, Dubravko
    Pizurica, Aleksandra
    Crnojevic, Vladimir
    Philips, Wilfried
    [J]. ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS, 2009, 5807 : 494 - +
  • [10] Moving Object Detection and Tracking in Traffic Surveillance Video Sequences
    Gajbhiye, Pranjali
    Cheggoju, Naveen
    Satpute, Vishal R.
    [J]. RECENT FINDINGS IN INTELLIGENT COMPUTING TECHNIQUES, VOL 2, 2018, 708 : 117 - 128