Скачать или смотреть Real-Time Motion Detection Using OpenCV | Background Subtraction in Python

In this video, I demonstrate a real-time motion detection system using Python and OpenCV.
The program detects motion in a video by comparing each frame with a background frame using background subtraction, frame differencing, and contour detection.

🔹 Key Features:

Motion detection using frame difference

Gaussian blur for noise reduction

Thresholding and dilation for clear motion regions

Bounding box around detected motion

Separate output video for motion and threshold mask

🔹 Technologies Used:

Python

OpenCV (cv2)

NumPy

🔹 Use Cases:

CCTV surveillance

Security systems

Activity monitoring

Computer vision learning projects

📌 Output Videos Included:

Motion detected video with bounding boxes

Binary threshold (motion mask) video

If you’re learning Computer Vision, OpenCV, or building AI surveillance projects, this video will help you understand the core concepts easily.

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