Detection of Direction Deviation of vehicle using CCTV Cameras

被引:0
|
作者
Gupta, Pratishtha [1 ]
Rathore, Manisha [1 ]
Purohit, G. N. [1 ]
机构
[1] Banasthali Univ, Jaipur, Rajasthan, India
关键词
MA TLAB; CCTV; Direction Deviation of vehicle; Image processing; Orientation;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As an application of CCTV Traffic surveillance, detection of direction deviation of vehicle is an important dimension, which demands an intelligent solution. It is assumed that images of vehicles have been captured at a particular orientation i.e. from top view and top-front view using CCTV cameras installed at junction along a particular road at an instant. When CCTV cameras are installed at junction for real time traffic surveillance system, a lot more information can be retrieved from the captured traffic images which can be further utilized for intelligent traffic system. The key technique used to develop this work is image processing. This document presents a new work on traffic image, in which the traffic image is processed to find out if every individual vehicle is going in the straight or diagonal direction when it crosses the junction. Intensity values are computed on each pixel in row and column. These intensity change values are used to calculate x-extent and y-extent of vehicle which results the direction of vehicle, either the vehicle is moving in straight direction or moving in diagonal direction.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Following Vehicle Detection Using Multiple Cameras
    Inoue, Osamu
    Ahn, Seonju
    Ozawa, Shinji
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY, 2008, : 224 - 228
  • [2] Face detection criminals through CCTV cameras
    Yimyam, Worawut
    Pinthong, Thidarat
    Chumuang, Narumol
    Ketcham, Mahasak
    [J]. 2018 14TH INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS (SITIS), 2018, : 351 - 357
  • [3] A Comparison Between CCTV and Industrial Cameras for Vehicle Attribute Recognition
    Asadi, Mohammadreza
    Fakhar, Mohammad Yasin
    Hashemi, Seyedeh Sogand
    Rezaei, Safiyeh
    Abari, Mohamad Kiani
    Abbaspour, Seyed Alireza
    [J]. PROCEEDINGS OF THE 13TH IRANIAN/3RD INTERNATIONAL MACHINE VISION AND IMAGE PROCESSING CONFERENCE, MVIP, 2024, : 82 - 86
  • [4] Automatic helmet-wearing detection for law enforcement using CCTV cameras
    Wonghabut, P.
    Kumphong, J.
    Satiennam, T.
    Ung-Arunyawee, R.
    Leelapatra, W.
    [J]. 2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE DEVELOPMENT IN CIVIL, URBAN AND TRANSPORTATION ENGINEERING (CUTE 2018), 2018, 143
  • [5] Towards Detection of Abnormal Vehicle Behavior Using Traffic Cameras
    Wang, Chen
    Musaev, Aibek
    Sheinidashtegol, Pezhman
    Atkison, Travis
    [J]. BIG DATA - BIGDATA 2019, 2019, 11514 : 125 - 136
  • [6] Preliminary Research on Vehicle Speed Detection using Traffic Cameras
    Wang, Chen
    Musaev, Aibek
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2019, : 3820 - 3823
  • [7] Detection of Persons in a Vehicle Using IR Cameras and RFID Technologies
    Kalikova, Jana
    Krcal, Jan
    Koukol, Milan
    [J]. 2015 SMART CITIES SYMPOSIUM PRAGUE (SCSP), 2015,
  • [8] EyeShopper: Estimating Shoppers' Gaze using CCTV Cameras
    Bermejo, Carlos
    Chatzopoulos, Dimitris
    Hui, Pan
    [J]. MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, 2020, : 2765 - 2774
  • [9] Pedestrian Detection for Autonomous Vehicle Using Multi-Spectral Cameras
    Chen, Zhilu
    Huang, Xinming
    [J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2019, 4 (02): : 211 - 219
  • [10] Vehicle Detection and Tracking Using Thermal Cameras in Adverse Visibility Conditions
    Bhadoriya, Abhay Singh
    Vegamoor, Vamsi
    Rathinam, Sivakumar
    [J]. SENSORS, 2022, 22 (12)