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Paper Title
Real Time Multiple Object Tracking From Video Based On Background Subtraction Algorithm
  Neha Goyal,  Bhavneet Kaur

Object tracking is a technique that is being used from past centuries. This technique includes an application called surveillance that helps to detect the threats on public places that may be the crowded public place or a mall or public transport with the help of CCTV cameras. In the object tracking process the object is considered to be in motion if its location is changing with respect to its background. By using background subtraction method the change of frame is detected, in case there is no difference between two frames the object is considered to be static. Our work is to propose a system that detects the motion and to compare its results with the performance with former systems

Keywords- Component, formatting, style, styling, insert
Publication Details
Unique Identification Number - IJEDR1503132
Page Number(s) - 1-5
Pubished in - Volume 3 | Issue 3 | Sept 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Neha Goyal,  Bhavneet Kaur,   "Real Time Multiple Object Tracking From Video Based On Background Subtraction Algorithm", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp.1-5, Sept 2015, Available at :http://www.ijedr.org/papers/IJEDR1503132.pdf
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