Research on Video Electronic Stabilization Technology Based on ShiTomasi Corner Detection

Abstract

Video stabilization technology based on ShiTomasi corner detection has broad applications in intelligence surveillance, medical examination, and security monitoring. The research on video stabilization technology is crucial due to the inevitable mechanical vibrations affecting embedded cameras during use, leading to video jitter and compromising image quality. This paper proposes a video stabilization scheme based on the ShiTomasi corner detection method. The ShiTomasi algorithm is robust and accurate, effectively extracting corner features in videos. To further improve stabilization accuracy, a new weighted voting mechanism is designed, combining three-dimensional directional information to avoid mismatches in corner matching and enhance the accuracy of block matching. Specifically, this paper employs an adaptive search area and a multi-level feature detection method to process each video frame, ensuring the accuracy and robustness of corner detection. Additionally, an improved Kalman filter is introduced to reduce the impact of mismatched points on the stabilization results. In summary, the ShiTomasi algorithm-based video stabilization system designed in this paper not only enhances the speed and efficiency of video processing but also improves the precision and stability of stabilization.