Segmentation and Acquisition of Continuous Video Streams

This MATLAB implementation performs segmentation and acquisition of continuous video streams. The process begins by using video reading functions like VideoReader to convert continuous video into sequential frame images. Subsequently, motion detection is implemented through two primary algorithms: frame difference method and background subtraction method. The frame difference approach detects moving objects by calculating pixel-wise differences between consecutive frames, typically using absolute difference operations with functions like imabsdiff. The background subtraction method extracts foreground objects by comparing current frames against a background model, which can be established using techniques like Gaussian mixture models or running average algorithms. By integrating these methodologies, the system achieves precise segmentation and acquisition of continuous video streams, with implementation involving key MATLAB functions such as imsubtract for difference calculations and morphological operations for noise reduction in the resulting masks.