Agfianto Eko
Papers
1
Total Citations
10
H-Index
1
About
Agfianto Eko has made significant contributions to the field of computer vision, with a primary focus on pedestrian detection in video streams—a critical area for advancing intelligent vehicles, surveillance systems, and autonomous robotics. His most-cited work, "A Survey of Pedestrian Detection in Video" (2014), has garnered 10 citations and serves as a foundational review that synthesizes key methodologies and challenges in detecting humans from visual data. Through this survey, Eko has helped researchers and practitioners navigate the rapidly evolving landscape of detection algorithms, highlighting both traditional approaches and emerging trends. His research addresses real-world applications where reliable pedestrian detection is essential for safety and automation. By cataloging and analyzing state-of-the-art techniques, Eko’s work has provided a valuable roadmap for subsequent innovations in the field. His contributions underscore the importance of robust computer vision systems in enhancing human-machine interaction and public security, making his research a touchstone for students and engineers developing next-generation intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Pedestrian Detection in Video10 citations · 2014