Target Tracking In Real Time Surveillance Cameras and Videos

TL;DR

This paper presents a real-time surveillance system that detects motion using background subtraction and frame differencing techniques to enhance security monitoring.

Contribution

It introduces a real-time motion detection system utilizing background subtraction and frame differencing for surveillance applications.

Findings

Effective motion detection in real-time videos

Utilizes background subtraction and frame differencing methods

Suitable for security surveillance systems

Abstract

Security concerns has been kept on increasing, so it is important for everyone to keep their property safe from thefts and destruction. So the need for surveillance techniques are also increasing. The system has been developed to detect the motion in a video. A system has been developed for real time applications by using the techniques of background subtraction and frame differencing. In this system, motion is detected from the webcam or from the real time video. Background subtraction and frames differencing method has been used to detect the moving target. In background subtraction method, current frame is subtracted from the referenced frame and then the threshold is applied. If the difference is greater than the threshold then it is considered as the pixel from the moving object, otherwise it is considered as background pixel. Similarly, two frames difference method takes difference between two continuous frames. Then that resultant difference frame is thresholded and the amount of difference pixels is calculated.