Automatic detection of moving objects in video surveillance

TL;DR

This paper proposes a real-time method for automatically detecting geometrically shaped moving objects in video surveillance footage, enhancing automatic scene analysis.

Contribution

It introduces a novel approach for real-time detection of moving objects with specific geometric shapes in surveillance videos.

Findings

Effective real-time detection of geometric shapes

Improved accuracy in moving object identification

Potential for enhanced surveillance automation

Abstract

This work is in the field of video surveillance including motion detection. The video surveillance is one of essential techniques for automatic video analysis to extract crucial information or relevant scenes in video surveillance systems. The aim of our work is to propose solutions for the automatic detection of moving objects in real time with a surveillance camera. The detected objects are objects that have some geometric shape (circle, ellipse, square, and rectangle).