Study on Tracking of Moving Object in Intelligent Video Surveillance System

被引:2
作者
Cheng Ping-guang [1 ]
Yong Jianhua [1 ]
机构
[1] ChongQing Educ Coll, Chongqing 400067, Peoples R China
来源
MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8 | 2012年 / 433-440卷
关键词
Intelligent surveillance; motion detection; object tracking; Camshift; frame difference; VISUAL SURVEILLANCE;
D O I
10.4028/www.scientific.net/AMR.433-440.6583
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Through the in-depth study of the current motion detection and tracking technologies, combined with the practical application of intelligent video surveillance, this paper improves the existing motion detection and tracking algorithm. The improved algorithm continues the characteristics of original algorithm such as simple to implement and lower computational complexity, increases its range of application, and improves the anti-jamming capability and robustness of video tracking.
引用
收藏
页码:6583 / 6588
页数:6
相关论文
共 50 条
  • [11] Security standards for real time video surveillance and moving object tracking challenges, limitations, and future: a case study
    Chandan Kumar
    Shailendra Singh
    Multimedia Tools and Applications, 2024, 83 : 30113 - 30144
  • [12] A Remote Scene Binocular Video Surveillance System with Small Object Tracking
    Thou, Fei
    Yang, Wenming
    Yu, Xiang
    Liao, Qingmin
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 1941 - 1945
  • [13] Object recognition and tracking for remote video surveillance
    Foresti, GL
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 1999, 9 (07) : 1045 - 1062
  • [14] Object Tracking Algorithms for Video Surveillance Applications
    Mangawati, Akshay
    Mohana
    Leesan, Mohammed
    Aradhya, H. V. Ravish
    PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), 2018, : 667 - 671
  • [15] A Unified Algorithm for Object Tracking and Segmentation and its Application on Intelligent Video Surveillance for Transformer Substation
    Chen X.
    Han Y.
    Yan Y.
    Qi D.
    Shen J.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2020, 40 (23): : 7578 - 7586
  • [16] Background Independent Moving Object Segmentation for Video Surveillance
    Dewan, M. Ali Akber
    Hossain, M. Julius
    Chae, Oksam
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2009, E92B (02) : 585 - 598
  • [17] Object Tracking in Structured Environments for Video Surveillance Applications
    Zhu, Junda
    Lao, Yuanwei
    Zheng, Yuan F.
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2010, 20 (02) : 223 - 235
  • [18] Panoramic Image Correction Study of Intelligent Video Surveillance System
    Gu, Lingkang
    Zhou, Mingzheng
    PROCEEDINGS OF 2010 INTERNATIONAL SYMPOSIUM ON IMAGE ANALYSIS AND SIGNAL PROCESSING, 2010, : 343 - 346
  • [19] A new outdoor object tracking approach in video surveillance
    Kim, Soonwhan
    Kang, Jin-Shig
    Advances in Intelligent Systems and Computing, 2014, 268 : 167 - 177
  • [20] 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