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Subsense : A Change Detection Method

Authors(4):

Joppy Jose, Mariya Chackochan, Poorna Raju,Neethu Subhash
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The use of change detection algorithms to identify regions of interest in video sequences has long been a stepping stone in high level applications. They allow the subtraction of static background from scenes where relevant objects are always in motion. Subsense means Substance Sensitivity Segmenter. The paper aims at developing a system that provides mainly three concepts edge detection, object tracking and online video analysis. The concept, edge detection for motion detection is done by using the Canny edge detection algorithm.

Joppy Jose, Mariya Chackochan, Poorna Raju,Neethu Subhash

Motion detection, Canny edge detection

  1. Pierre-Luc St-Charles, Guillaume-AlexandreBilodeau, Robert Bergevin, “SuBSENSE : A Universal Change Detection Method with Local Adaptive Sensitivity”.
  2. Suresh D, Lavanya M, “Motion Detection and Tracking using Background Subtraction and Consecutive Frames Difference Method”, International Journal of Research Studies in Science, Engineering and Technology Volume 1, Issue 5, August 2014, PP 16-22.
  3. Nikhil Singh, Praveen Kumar, PriyaAkhoury, Rohit Kumar, M. Ramasubramanian, “Motion Detection Application Using Web Camera”, International Journal of Modern Engineering Research (IJMER), Pp-75-77.
  4. DrHilal Adnan Fadhil, Dr Ahmad alkhodre, Haitham Mohammed KulalAlyousef, “Robust and Sensitive Video Motion Detection for security purpose analysis”, Volume 1, Issue 1, January 2015.

Publication Details

Published in : Volume 2 | Issue 3 | May-June - 2016
Date of Publication Print ISSN Online ISSN
2016-06-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
105-108 IJSRSET1622413   Technoscience Academy

Cite This Article

Joppy Jose, Mariya Chackochan, Poorna Raju,Neethu Subhash, "Subsense : A Change Detection Method", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.105-108, May-June-2016.
URL : http://ijsrset.com/IJSRSET1622413.php

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