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Reseach Article

Real time moving object detection in video images

Published on None 2011 by Raji Samuel, A P Dhande, Mahesh Khadtare
journal_cover_thumbnail
International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 4
None 2011
Authors: Raji Samuel, A P Dhande, Mahesh Khadtare
d0be3d63-4b2d-4115-802a-11e3485176ef

Raji Samuel, A P Dhande, Mahesh Khadtare . Real time moving object detection in video images. International Conference on VLSI, Communication & Instrumentation. ICVCI, 4 (None 2011), 1-6.

@article{
author = { Raji Samuel, A P Dhande, Mahesh Khadtare },
title = { Real time moving object detection in video images },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 4 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 1-6 },
numpages = 6,
url = { /proceedings/icvci/number4/2640-1157/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A Raji Samuel
%A A P Dhande
%A Mahesh Khadtare
%T Real time moving object detection in video images
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 4
%P 1-6
%D 2011
%I International Journal of Computer Applications
Abstract

Moving object detection is an important research topic of computer vision and video processing areas. Detection of moving objects In video streams is the first relevant step of information extraction in many computer vision applications.. This paper puts forward an improved background subtraction of moving object detection of fixed camera condition. Then combining the adaptive background subtraction with symmetrical differencing obtains the integrity foreground image. Using chromaticity difference to eliminate the shadow of the moving target, effectively distinguishes moving shadow and moving target. The results show that the algorithm could quickly establish the background model and detect integrity moving target rapidly.

References
  1. Syed Sohaib Ali and M F Zafar,”A Robust Adaptive Method for Detection and Tracking of Moving Objects”,2009 International Conference on Emerging Technologies,pp 262-266
  2. Hao Sun ,Chang Wang ,Boliang Wang ,”Independently Moving Object Detection andTracking using StereoVision”,Proceedings of 2010 IEEE International conference on Information and Automation,June 20-23 ,pp 1936-1941
  3. Hong Yang ,Yihua Tah ,Jinwen Tian,Jian Liu,”Accurate Dynamic Scene model for Moving Object Detection”,Proceedings of 2007 IEEE International Conference on Information and Processing Technology,pp 157-160
  4. Lianqiang Niu,Nan Jiang,”A Moving Object Detection Algorithm Based on Improved Background Subtraction”,Proceedings of 2008 ,Eight International Conference On Intelligent Systems Design And Applications,pp 604-607
  5. Hongyu Hu,Zhihui Li,Zhaowei Qu,Dianhai Wang,”Vision based moving object detection with background modeling”, 2009 International Conference On Measuring Technology An Mechatronics Automation,pp 436-439
  6. Hong Wen Lin ,Shao Qing Yang,Zhi jun Xia,Chun Yu Kang,”A moving Object Detection Approach for Smart sensor”,Proceedings of fifth 523 International Conference On Machine Learning And Cybernatics,13-16 Aug 2006 ,pp 3751-3754.
  7. Zhan Chaohui,Duan Xiaohui,Xu Shuoyu,Song Zhang,”An Improved Moving Object Detection Algorithm Based on Frame Difference and edge detection”,Proceedings on fourth international conference on image and graphics,pp 519-523.
  8. Hongyui Hu,Zhihui Li,Zhaowei Qu,Dianhi Wang,”Vision Based Moving Object Detection with Background Modelling”,2009 International Conference On Measuring Technology And Mechatronics Automation,pp 436-439
  9. Fu Yuan Hu,Yen Ning Zhang,Lan Yao,”An Effective Detection Algorithm for moving object with complebackground”,Proceedings Of Fourth International Conference On Machine Learning And Cybernatics,18-21 Aug 2005 pp 5011-5015
Index Terms

Computer Science
Information Sciences

Keywords

Moving object detection background subtraction frame differences shadow detection