Motion Object Detection using Frame Difference Method

This code implements motion object detection using the frame difference method technique. The algorithm works by comparing pixel differences between consecutive video frames to identify moving objects. Specifically, the implementation follows these key steps: first, it samples continuous video frames from the input stream; second, it calculates absolute differences between adjacent frames using pixel-wise subtraction; third, it applies threshold processing to the difference matrix to distinguish motion pixels from static background; finally, it generates bounding boxes around detected motion regions and overlays them on the original frames for visualization.

The frame difference method represents a fundamental motion detection approach that offers real-time performance with low computational complexity. This implementation demonstrates core computer vision operations including frame processing, difference calculation using functions like absdiff(), adaptive thresholding with techniques such as Otsu's method, and contour detection for object localization. The code serves as an excellent educational resource for understanding basic motion detection algorithms and their practical implementation in video analysis applications.