Prawal Lohani
Papers
1
Total Citations
2
H-Index
1
About
Prawal Lohani is a researcher at the forefront of computer vision and human-computer interaction, with a specialized focus on real-time video analysis and sports analytics. His most cited work, "Hybrid Methods for Real-Time Video Sequence Identification of Human Soccer Referee Signals" (2024), introduces innovative hybrid approaches that combine machine learning and traditional computer vision techniques to accurately interpret complex, dynamic human gestures in high-speed sports environments. This contribution addresses a critical gap in automated sports officiating and broadcast enhancement, offering a robust framework for recognizing referee signals with high precision. With 2 citations in its early publication stage, Lohani's research demonstrates immediate relevance and potential for growth in the field. His work not only advances the technical capabilities of real-time video identification but also has practical implications for improving fairness and efficiency in soccer matches. By bridging the gap between algorithmic efficiency and real-world application, Lohani is establishing himself as a promising voice in applied computer vision, with future work poised to expand into broader gesture recognition and interactive systems.
Research Focus
Key Achievements
Top Papers
- 1