Abstract
Motion detection is an important process in computer vision to analyze activities in videos. This study implements a simple system to detect motion in video files using Python and the OpenCV library. The system works by comparing consecutive frames in a video to detect changes and mark areas that experience motion. The implementation shows satisfactory results on various sample videos. This study provides a solution that is easy to implement and can be used in applications such as video analysis and computer-based monitoring.
Cite
CITATION STYLE
Supiyandi Supiyandi, Andriani Sitorus, Nurul Fitriah, Havni Virul, & Syawaliah Putri Rangkuti. (2024). Pendeteksi Gerakan Pada Vidio Menggunakan Pyton dan OpenCV. Merkurius : Jurnal Riset Sistem Informasi Dan Teknik Informatika, 2(6), 334–343. https://doi.org/10.61132/merkurius.v2i6.522
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