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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
Surveillance, Computer Vision, Video Streams, OpenCV, Moving Object Detection, Robotics, Real-Time, Python
Surveillance, Computer Vision, Video Streams, OpenCV, Moving Object Detection, Robotics, Real-Time, Python
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |