IP Camera Based Video Surveillance Using Object’s Boundary Specification

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Author(s)

Natalia Chaudhry 1,* Kh. M. Umar Suleman 2

1. Department of Computer Sciences, Kinnaird College for Women Lahore, Pakistan

2. Faculty of IT, University of Central Punjab, Pakistan

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2016.08.02

Received: 14 Nov. 2015 / Revised: 1 Mar. 2016 / Accepted: 14 May 2016 / Published: 8 Aug. 2016

Index Terms

SURF feature matching, template matching, Kalman filtering, track, IP cameras

Abstract

The ability to detect and track object of interest from sequence of frames is a critical and vital problem of many vision systems developed as yet. This paper presents a smart surveillance system that tracks objects of interest in a sequence of frames in their own defined respective boundaries. The objects of interest are registered or saved within the system. We have proposed a unique tracking algorithm using combination of SURF feature matching, Kalman filtering and template matching approach. Moreover, an efficient technique is proposed that is used to refine registered object image, extract object of interest and remove extraneous image area from it. The system will track registered objects in their respective boundaries using real time video generated through two IP cameras positioned in front of each other.

Cite This Paper

Natalia Chaudhry, Kh. M. Umar Suleman, "IP Camera Based Video Surveillance Using Object's Boundary Specification", International Journal of Information Technology and Computer Science(IJITCS), Vol.8, No.8, pp.13-22, 2016. DOI:10.5815/ijitcs.2016.08.02

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