This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
Human Opinion Dynamics Used for Efficient Multiple Object Tracking
Authors
Alisha Johar, Parvinder Kaur
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.
Keywords- Object Tracking, Particle Filter, Computer Vision, Optimization
Publication Details
Unique Identification Number - IJEDR1602168Page Number(s) - 963-967Pubished in - Volume 4 | Issue 2 | May 2016DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Alisha Johar, Parvinder Kaur, "Human Opinion Dynamics Used for Efficient Multiple Object Tracking", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.963-967, May 2016, Available at :http://www.ijedr.org/papers/IJEDR1602168.pdf
Article Preview
|
|
||||||
|
|
||||||||
