Moving Object Detection Based on Background Subtraction
Published in 2016 Conference of KIISE, South Korea., 2016
Recommended citation: Ihsan Ullah et al. (2016). Moving Object Detection Based on Background Subtraction; 2016 Conference of KIISE, South Korea.. 1(1). https://ihsan149.github.io/files/c6.pdf
Moving object detection is a task to identify the physical motion of an object in a specific region or area. Over the last few years, moving object detection has received much attention due to its wide range of applications like video surveillance, human motion analysis, robot navigation, event detection, anomaly detection, video conferencing, traffic analysis and security. In this paper, a framework is proposed for the evaluation of object detection algorithms in surveillance applications using background subtraction and Mixture of Gaussian. Experimental results show that our technique achieved promising accuracy.
#Proposed Framework and Examples #