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

Авторы

Ключевые слова:

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

Аннотация

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

Биография автора

Soliev Bakhromjon

Главный редактор журнала

Библиографические ссылки

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Опубликован

2024-06-05

Как цитировать

Bakhromjon, S. (2024). Real-Time Moving Object Detection from Video Streams in Python: Techniques and Implementation . Потомки Аль-Фаргани, 1(2), 330–335. извлечено от https://al-fargoniy.uz/index.php/journal/article/view/438