MOTION DETECTION USING OPENCV WITH BACKGROUND SUBTRACTION AND FRAME DIFFERENCING TECHNIQUE

Abstract

In this decade, the need of monitoring systems in every field is increasing rapidly. Monitoring systems are applied to improve the security systems and the productivities. The implementation is always based on the need to keep watching and recording all activities that occur in one location with a purpose; if there’s something emergency happens, we will know and handle it immediately. A building is an important place to be protected if there is much valuable stuff in it. Surveillance system that currently used is operator surveillance camera which many human error factors are imprecise so it is very inefficient to get a maximum result. A surveillance system using camera which can detect motions and record them automatically is an alternative method to improve the system’s efficiency which can save more memory and need no operator. This paper describes how to detect motions and record them using opencv library with web camera. This method uses background subtraction and frame differencing technique. Background subtraction is a method that subtract the current frame with background frame to get a moving object and frame differencing is a method that subtract the current frame with previous frame to get a moving object.