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.
👉 Comment if you need the source code
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