OBJECT DETECTION,TRACKING AND BEHAVIOURAL ANALYSIS FOR STATIC AND MOVING BACKGROUND

被引:0
|
作者
Reeja, S. R. [1 ]
Yaseen, Ishfaq [2 ]
机构
[1] Vellore Inst Technol Andhra Pradesh VIT AP, SCOPE, Amaravati, India
[2] Sattam Bin Abdul Aziz Univ, Al Kharj, Saudi Arabia
关键词
object tracking; YOLO; static background object detection; and moving background;
D O I
10.9756/INTJECSE/V14I5.79
中图分类号
G76 [特殊教育];
学科分类号
040109 ;
摘要
This Detection of vehicles and tracking gives more promising way to manage and control the road traffic using the traffic surveillance system. In military and civilian application, vehicle detection and tracking applications play an important role. A challenging task of moving object segmentation in complex environment is more in Vehicle surveillance. As number of vehicles are increasing rapidly, controlling the traffic is a huge problem. Vehicle detection and tracking, calculating average speed of each individual vehicle, counting of vehicle in current frame can be done by vehicle detection process. Traffic analysis and vehicle categorizing objectives and may be implemented under different environments changes can be done on road using detection process. All this help us to handle the traffic in efficient way possible. We have detected and tracked the vehicle and also calculated behavior analysis of the vehicle whether it is moving towards forward or left or right. Also, the number of vehicles in frame is counted and also the static and dynamic mobility of the vehicle is analyzed.
引用
收藏
页码:788 / 795
页数:8
相关论文
共 50 条
  • [41] Moving Object Detection and Tracking Based on Three-Frame Difference and Background Subtraction with Laplace Filter
    Cui, Beibei
    Creput, Jean-Charles
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING (ICAISC 2018), PT II, 2018, 10842 : 3 - 13
  • [42] Moving-object detection and tracking by scanning LiDAR mounted on motorcycle based on dynamic background subtraction
    Muro, Shotaro
    Yoshida, Ibuki
    Hashimoto, Masafumi
    Takahashi, Kazuhiko
    ARTIFICIAL LIFE AND ROBOTICS, 2021, 26 (04) : 412 - 422
  • [43] Moving-object detection and tracking by scanning LiDAR mounted on motorcycle based on dynamic background subtraction
    Shotaro Muro
    Ibuki Yoshida
    Masafumi Hashimoto
    Kazuhiko Takahashi
    Artificial Life and Robotics, 2021, 26 : 412 - 422
  • [44] An Approach Based On Mean Shift And Background Difference For Moving Object Tracking
    Yang, Gang
    Zhao, Jun-Sheng
    Zheng, Chun-Hong
    Yang, Fan
    2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM), 2010,
  • [45] Moving object detection and tracking from video captured by moving camera
    Hu, Wu-Chih
    Chen, Chao-Ho
    Chen, Tsong-Yi
    Huang, Deng-Yuan
    Wu, Zong-Che
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2015, 30 : 164 - 180
  • [46] A method of moving object tracking based on background subtraction and color feature
    1600, Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland (710):
  • [47] A Method of Moving Object Tracking Based on Background Subtraction and Color Feature
    Liu Chun-yang
    Hou Dao-zheng
    Liu Chang-an
    2012 2ND INTERNATIONAL CONFERENCE ON APPLIED ROBOTICS FOR THE POWER INDUSTRY (CARPI), 2012, : 582 - 584
  • [48] Real-time tracking for fast moving object on complex background
    Zhang, Chao
    Wang, Daobo
    Farooq, M
    Transactions of Nanjing University of Aeronautics and Astronautics, 2010, 27 (04) : 321 - 325
  • [49] Event-based Moving Object Detection and Tracking
    Mitrolchin, Anton
    Fermueller, Cornelia
    Parameshwara, Chethan
    Aloimonos, Yiannis
    2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 6895 - 6902
  • [50] Detection and Tracking of Moving Object Based on PTZ Camera
    Li, Xinghua
    Chen, Qinglei
    Chen, Haiyang
    2012 IEEE FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2012, : 493 - 497