AUTHOR(S):

Moiz Abdul Hussain, Govid Ukandrao Kharat

TITLE

A Comparative Analysis of Motion Detection & Tracking System for Video Surveillance

KEYWORDS

Video Surveillance, Optical Flow, Frame Difference, AdaBoost Classifier.

ABSTRACT

In today’s world, security of human being is the most active research area. Many different applications are being proposed to safeguard the public places. In this paper, we review the four different techniques of video surveillance system based on motion segmentation and tracking. The first system is based on dual frame differencing method followed by the morphological operations & Kalman filtering. The second technique is the use of visual background subtraction combined with illumination insensitive template matching algorithm. The third one is the optical flow used in combination of template matching. The final method is the design of AdaBoost classifier using sparse matrix & 45⁰ rotated Haar features. This paper explores the different methods of visual tracking & their experimentation results to enhance the study in the field of image processing.

Cite this paper

Moiz Abdul Hussain, Govid Ukandrao Kharat. (2016) A Comparative Analysis of Motion Detection & Tracking System for Video Surveillance. International Journal of Signal Processing, 1, 12-19