Multiple Object Tracking in Videos: A Survey of Literature Work

  Shallu Rani,  Sukhjinder 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 surveillance system, several vision based methods are utilized for various objects. Some of the methods are used for tracking including background modeling, particle filter etc. The proposed method combines the background modeling and particle filter to track multiple objects. 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. Different colored particles are displayed on the object for tracking. After applying the proposed method on a video having several objects, successful results were obtained

Keywords- Tracking, prediction, computer vision, background subtraction

Unique Identification Number - IJEDR1602198
Page Number(s) - 1134-1135
Pubished in - Volume 4 | Issue 2 | May 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Shallu Rani,  Sukhjinder Kaur,   "Multiple Object Tracking in Videos: A Survey of Literature Work", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.1134-1135, May 2016, Available at :http://www.ijedr.org/papers/IJEDR1602198.pdf