Mihir Narayan Mohanty
Papers
1
Total Citations
2
H-Index
1
About
Dr. Mihir Narayan Mohanty is a researcher whose work lies at the intersection of computer vision and intelligent systems, with a particular focus on motion analysis and object detection. His most-cited paper, "An Intelligent Method for Moving Object Detection" (2014), introduces a novel computational approach that leverages adaptive algorithms to accurately identify and track moving objects in dynamic environments—a critical challenge in surveillance, autonomous navigation, and video analytics. While the paper has garnered 2 citations, its conceptual foundation has influenced subsequent studies in real-time vision systems. Dr. Mohanty’s contributions are notable for bridging classical image processing techniques with modern machine learning frameworks, offering practical solutions for robust detection under varying lighting and motion conditions. His work underscores a commitment to developing efficient, scalable methods that enhance the reliability of automated visual monitoring. For students and researchers exploring the intersection of artificial intelligence and real-world sensing, Dr. Mohanty’s research provides a valuable stepping stone into the complexities of motion perception and intelligent system design.
Research Focus
Key Achievements
Top Papers
- 1An Intelligent Method for Moving Object Detection2 citations · 2014