Intelligent transportation video tracking technology based on computer and image processing technology

被引:11
|
作者
Li, Yukuan [1 ]
Chu, Liang [1 ]
Zhang, Yuanjian [1 ]
Guo, Chong [1 ]
Fu, Zicheng [1 ]
Gao, Jianbing [2 ]
机构
[1] Jilin Univ, Changchun, Jilin, Peoples R China
[2] Univ Surrey, Dept Mech Engn, Guildford, Surrey, England
关键词
Video tracking; intelligent transportation; mobile detection; computer; SYSTEMS;
D O I
10.3233/JIFS-179137
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the continuous improvement of the economic level of various countries and the continuous development of urbanization, the problems of urban traffic congestion and traffic accidents are also increasing. In recent years, the development of computer vision and the emergence of webcam in traffic roads provide a convenient condition for the realization of intelligent traffic video tracking. In order to realize the video tracking technology in intelligent traffic, the target detection and tracking of the moving objects such as vehicles and human beings should be carried out first, and the detection and tracking of the moving target in the foreground map is of great practical significance and practical value. Based on this problem, the open source image processing library of hardware video server and software - Open CV is applied to design and implement intelligent transportation video tracking technology. The intelligent traffic monitoring, target track monitoring, abnormal target occurrence monitoring, target retention monitoring, target oriented mobile monitoring and other intelligent behavior functions are completed to achieve intelligent traffic video tracking. As a result, intelligent traffic management and better maintenance of traffic order is achieved.
引用
收藏
页码:3347 / 3356
页数:10
相关论文
共 50 条
  • [21] Application of computer technology of image processing in aquaculture
    Shi Bing
    Pan Yaping
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 1163 - 1165
  • [22] Application and analysis of computer image processing technology
    Su, Huiming
    MODERN COMPUTER SCIENCE AND APPLICATIONS II (MCSA 2017), 2017, : 30 - 34
  • [23] Application of computer technology in medical image processing
    Wang Jinguo
    Wang Na
    Ma Haichun
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND MANAGEMENT INNOVATION, 2015, 28 : 658 - 661
  • [24] The Research of Elderly Care System Based on Video Image Processing Technology
    Lu, Dongwei
    He, Zhiwei
    Li, Xiao
    Gao, Mingyu
    Li, Yun
    Yin, Ke
    PROCEEDINGS 2016 IEEE 25TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2016, : 254 - 258
  • [25] STUDY ON WEED IDENTIFICATION METHOD BASED ON COMPUTER IMAGE PROCESSING TECHNOLOGY
    Gong, Yan
    FRESENIUS ENVIRONMENTAL BULLETIN, 2021, 30 (7A): : 9274 - 9278
  • [26] Hybrid Intelligent Information Technology for Biomedical Image Processing
    Berezsky, Oleh
    Verbovyy, Serhiy
    Pitsun, Oleh
    2018 IEEE 13TH INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE ON COMPUTER SCIENCES AND INFORMATION TECHNOLOGIES (CSIT), VOL 1, 2018, : 420 - 423
  • [27] An Improved Intelligent Transportation Algorithm Based on Image Processing
    Su, Yang
    Guo, Zhenzi
    Zhang, Qi
    2018 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION (ISMS), 2018, : 22 - 25
  • [28] Research on machine vision technology based detection and tracking of objects on video image
    Wang, YiHui
    Zhang, HuaLiang
    2022 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, COMPUTER VISION AND MACHINE LEARNING (ICICML), 2022, : 267 - 270
  • [29] Intelligent Localization Sampling System Based on Deep Learning and Image Processing Technology
    Yi, Shengxian
    Yang, Zhongjiong
    Zhou, Liqiang
    Zou, Shaoxin
    Xie, Huangxin
    SENSORS, 2022, 22 (05)
  • [30] Research on image processing of intelligent building environment based on pattern recognition technology
    Cai, Wei
    Wen, Xiaodong
    Tu, Qiu
    Guo, Xiujuan
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2019, 61 : 141 - 148