Paper Title

Human Opinion Dynamics Used for Efficient Multiple Object Tracking

Authors

  • Alisha Johar
  • Parvinder Kaur

Keywords

Object Tracking, Particle Filter, Computer Vision, Optimization

Abstract

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. This paper propose a system using human opinion dynamics tuned particle filter that detects the motion and to compare its results with the performance with former systems.

Article Type

Published

How To Cite

Alisha Johar, Parvinder Kaur. "Human Opinion Dynamics Used for Efficient Multiple Object Tracking".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.4, Issue 2, pp.963-967, URL :https://rjwave.org/ijedr/papers/IJEDR1602168.pdf

Issue

Volume 4 Issue 2 

Pages. 963-967

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