Gray Projection-Based Video Stabilization Program

This MATLAB-based video stabilization program utilizes gray projection techniques for image processing applications. The algorithm works by analyzing the grayscale projection patterns between consecutive video frames to detect motion trajectories. Key implementation aspects include calculating horizontal and vertical projection vectors using functions like sum() for dimension-wise intensity accumulation, followed by cross-correlation analysis through xcorr() to determine frame displacement vectors. The stabilization is achieved by applying inverse pixel shifts to compensate for unwanted camera motion, effectively reducing jitter and improving visual smoothness. This program supports various video formats and finds applications in surveillance systems, handheld camera footage stabilization, and other scenarios requiring motion compensation. The core algorithm enhances video quality by maintaining temporal consistency through intelligent motion vector estimation and real-time frame alignment operations, significantly improving viewing experience with reduced computational complexity compared to optical flow methods.