CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Sensing Motion by Monitoring and Detection of Moving Objects

by Gaganpreet, Arshdeep Singh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 124 - Number 4
Year of Publication: 2015
Authors: Gaganpreet, Arshdeep Singh
10.5120/ijca2015905448

Gaganpreet, Arshdeep Singh . Sensing Motion by Monitoring and Detection of Moving Objects. International Journal of Computer Applications. 124, 4 ( August 2015), 30-33. DOI=10.5120/ijca2015905448

@article{ 10.5120/ijca2015905448,
author = { Gaganpreet, Arshdeep Singh },
title = { Sensing Motion by Monitoring and Detection of Moving Objects },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 124 },
number = { 4 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume124/number4/22092-2015905448/ },
doi = { 10.5120/ijca2015905448 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:13:29.827006+05:30
%A Gaganpreet
%A Arshdeep Singh
%T Sensing Motion by Monitoring and Detection of Moving Objects
%J International Journal of Computer Applications
%@ 0975-8887
%V 124
%N 4
%P 30-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Detection of movement of objects is very important in various areas. In this paper we present various techniques related to motion detection of moving objects. Existing methods for moving object detection are mainly the frame subtraction method, the background subtraction method and the optical flow method. The aim is to develop mathematical models, algorithms and technologies to build a machine with vision capabilities as advanced at least as human eyesight.

References
  1. Richard J. Radke, Srinivas Andra et al 2004. Image Change Detection Algorithms: A Systematic survey.
  2. Qiang Liu, Robert J. Sclabassi et al 2005.A DCT- Domain Approach to image change detection and its application to patient video monitoring . MultiMedia Signal Processing Workshop, IEEE.
  3. Lijing Zhang ,Yingli Liang 2010. Motion human detection based on background Subtraction . Second International Workshop on Education Technology and Computer Science,IEEE Computer Science IEEE.
  4. Xiaofei Ji, Honghai Liu, 2010. Advances in View-Invariant Human Motion Analysis:A Review in IEEE Trans.on Systems,Man, Cybernetics,vol.40,no.1.
  5. Hazi Wang and David suter, “Background Subtraction Based on a Robust Consensus Method ,” Monash University, Clayton Vic. 3800, Australia.
  6. K. S. Tan, R. Saatchi et al 2010, Real-Time Vision Based Respiration Monitoring System, IEEE.
  7. Yuki Fujimori, Yoshiyuki Ohmura et al 2009. Wearable Motion Capture Suit with Full-body Tactile Sensors, IEEE.
  8. Mohamed F. Abdelkader et al 2006, Integrated Motion Detection and Tracking for Visual Surveillance, IEEE.
  9. Ching Yee Yong, Rubita Sudirman, Kim Mey Chew 2011.Motion Detection and Analysis with Four Different Detectors, Third International Conference on Computational Intelligence, Modelling & Simulation, IEEE.
  10. Suwich Tirakoat 2011, Optimized Motion Capture System For Full Body Human Motion Capturing Case Study of Educational Institution and Small Animation Production, IEEE.
  11. Francesco Cardile, Giancarlo Iannizzotto et al2010, A Vision Based System for Elderly Patients Monitoring”, IEEE.
  12. Nan Lu, Jihong Wang, Q.H. Wu and Li Yang 2008. An Improved Motion Detection Method for Real-Time Surveillance, IAENG International Journal of Computer Science.
  13. B.D. Lucas and T. Kanade, An iterative image registration technique with an application to stereo vision, Proc. 7th International Joint Conference on Artificial
Index Terms

Computer Science
Information Sciences

Keywords

Motion detection Frame subtraction Background subtraction Optical flow method.

Powered by PhDFocusTM