Real-Time Moving Object Detection from Video Streams in Python: Techniques and Implementation

Authors

Keywords:

Moving Object Detection, Video Streams, Python, OpenCV, Real-Time, Computer Vision, Surveillance, Robotics

Abstract

This article explores real-time moving object detection from video streams using Python. We delve into various techniques and their implementation, providing a comprehensive guide for practitioners and researchers. By leveraging libraries like OpenCV, we demonstrate practical examples and real-world applications. This study aims to enhance understanding and application of moving object detection in diverse fields such as surveillance, traffic monitoring, and robotics.

Author Biography

Soliev Bakhromjon

Chief editor of journal

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Published

2024-06-05

How to Cite

Bakhromjon, S. (2024). Real-Time Moving Object Detection from Video Streams in Python: Techniques and Implementation. The Descendants of Al-Fargani, 1(2), 330–335. Retrieved from http://al-fargoniy.uz/index.php/journal/article/view/438

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