Georgios Goudelis

Papers

Total Citations

H-Index

About

Georgios Goudelis is a prominent researcher in computer vision and human action recognition, whose work has significantly advanced the field of video-based behavior analysis. His most cited paper, "Exploring trace transform for robust human action recognition" (2013), with 55 citations, introduces a novel approach that leverages trace transform techniques to extract invariant features from video sequences, enabling more accurate and resilient recognition of human actions despite variations in viewpoint, scale, and background clutter. This contribution has been instrumental in developing robust surveillance systems and human-computer interaction technologies. Goudelis’s research primarily focuses on pattern recognition, machine learning, and video analytics, where he has pioneered methods for spatiotemporal feature extraction and action classification. His work is widely acknowledged for bridging theoretical computer vision with practical applications, earning him recognition in top-tier conferences and journals. By addressing core challenges in dynamic scene understanding, Goudelis has laid foundational groundwork for subsequent innovations in activity recognition, making his research a key reference for students and professionals exploring intelligent video analysis.