Automatic detection of moving objects in video surveillance
Larbi Guezouli, Hanane Belhani

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).
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