Robust object detection based on radial reach correlation and adaptive background estimation for real-time video surveillance systems

被引：0
|
作者：
Itoh, M. [1 ]
Kazui, M. [1 ]
Fujii, H. [2 ]
机构：
[1] Hitachi Ltd, Hitachi Res Lab, 7-1-1 Omika Cho, Hitachi, Ibaraki 3191292, Japan
[2] Hitachi Ltd, Consumer Business Grp, Totsuka Ku, Yokohama, Kanagawa 2440817, Japan
来源：
REAL-TIME IMAGE PROCESSING 2008 | 2008年 / 6811卷
关键词：
object detection; background estimation; radial reach correlation; increment sign code; embedded system; surveillance system;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A method of real-time object detection for video surveillance systems has been developed. The method aims to realize robust object detection by using Radial Reach Correlation (RRC). We also apply a statistical background estimation to cope with dynamic and complex environments. The computational cost of RRC is higher than the simple subtraction method and the background estimation method based on statistical approach needs large memory. It is necessary to reduce the calculation cost in order to apply to an embedded image processing device. Our method is composed of two techniques: fast RRC algorithm and background estimation based on statistical approach with cumulative averaging process. As a result, without deterioration in detection accuracy, the processing time of object detection can be decreased to about 1/4 in comparison with normal RRC.
引用
收藏
页数：8
相关论文
共 50 条
  • [41] Multi-object Detection and Tracking (MODT) Machine Learning Model for Real-Time Video Surveillance Systems
    M. Elhoseny
    [J]. Circuits, Systems, and Signal Processing, 2020, 39 : 611 - 630
  • [42] Robust and Real-time Object Tracking using Scale-Adaptive Correlation Filters
    Hu, Qingyong
    Guo, Yulan
    Lin, Zaiping
    An, Wei
    Cheng, Hongwei
    [J]. 2016 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA), 2016, : 420 - 427
  • [43] Robust object detection based on radial reach filter for mobile robots
    Wajima, Naoya
    Takahashi, Satoru
    Itoh, Masaya
    Satoh, Yutaka
    Kaneko, Shun'ichi
    [J]. 2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, 2006, : 4740 - +
  • [44] Robust real-time detection, tracking, and pose estimation of faces in video streams
    Huang, KS
    Trivedi, MM
    [J]. PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, 2004, : 965 - 968
  • [45] Robust background subtraction based on bi-polar radial reach correlation
    Satoh, Yutaka
    Sakaue, Katsuhiko
    [J]. TENCON 2005 - 2005 IEEE REGION 10 CONFERENCE, VOLS 1-5, 2006, : 999 - +
  • [46] Foreground detection based on real-time background modeling and robust subtraction
    Wang, Shengshu
    Kang, Gewen
    Zhong, Zhi
    Yang, Ming
    Chen, Pei
    Xu, Yangsheng
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, 2007, : 331 - +
  • [47] Real time object detection and trackingsystem for video surveillance system
    Jha, Sudan
    Seo, Changho
    Yang, Eunmok
    Joshi, Gyanendra Prasad
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (03) : 3981 - 3996
  • [48] Real time object detection and trackingsystem for video surveillance system
    Sudan Jha
    Changho Seo
    Eunmok Yang
    Gyanendra Prasad Joshi
    [J]. Multimedia Tools and Applications, 2021, 80 : 3981 - 3996
  • [49] Real-time object detection, tracking, and monitoring framework for security surveillance systems
    Abba, Sani
    Bizi, Ali Mohammed
    Lee, Jeong-A
    Bakouri, Souley
    Crespo, Maria Liz
    [J]. HELIYON, 2024, 10 (14)
  • [50] Adaptive background estimation for real-time traffic monitoring
    Gao, DS
    Zhou, J
    [J]. 2001 IEEE INTELLIGENT TRANSPORTATION SYSTEMS - PROCEEDINGS, 2001, : 330 - 333
12345