Object Extraction from Video Frames Using Frame Difference Method

This implementation utilizes MATLAB for object extraction from video frames to obtain enhanced extraction quality. The core methodology employs the frame difference technique for target detection. This algorithm operates by analyzing the differences between consecutive video frames to identify and locate target objects. The process begins by decomposing the video stream into individual frames, followed by computational comparison between adjacent frames to detect moving objects. The frame difference method calculates pixel-wise variations between successive frames, where significant differences indicate potential target movements. This approach effectively extracts target objects from video sequences, enabling more precise object detection and isolation. Key MATLAB functions involved include VideoReader for frame acquisition, imabsdiff for absolute difference computation, and appropriate thresholding techniques for binary segmentation of moving objects.