Work place: Department of Computer Sciences, Kinnaird College for Women Lahore, Pakistan
E-mail: nataliawr123@gmail.com
Website:
Research Interests: Applied computer science, Computer systems and computational processes, Computer Architecture and Organization, Computer Networks, Theoretical Computer Science
Biography
Natalia Chaudhry is a student of MPhil in Computer Science at University of Punjab, Lahore. She has received a BS (Hons) in Computer Science from Kinnaird College for Women University Lahore.
By Natalia Chaudhry Kh. M. Umar Suleman
DOI: https://doi.org/10.5815/ijitcs.2016.08.02, Pub. Date: 8 Aug. 2016
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.
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