A Brief Survey on Video Stabilization Approaches

Video stabilization is an important aspect of digital video processing, which addresses the challenge of reducing unwanted motion-induced artifacts in video recordings This research paper presents video provides a detailed overview of stability techniques from classical methods to recent developments. We classify these methods into several different categories, including feature-based methods, visual flow-based methods, and deep learning-based methods. Each category is examined in detail, covering the underlying principles, a story of outstanding strengths, weaknesses, and supports.In addition, we discuss the practical applications of video stabilization in various industries, highlighting its important role in film-making, action cameras, surveillance, medical imaging, and more. In addition to the systematic classification and analysis of existing methods, this study highlights recent developments and emerging trends in the field. A comparative study of different stability methods highlights their relative efficacy and computational requirements to help researchers and practitioners choose the most appropriate method for their particular application Furthermore, we address current challenges in deals with video stability and we present possible directions for future research, opening the way for continued innovation in this dynamic field.