U B Nagesh
Papers
2
Total Citations
4
H-Index
2
About
U B Nagesh is a researcher specializing in computer vision and deep learning, with a particular focus on human action recognition from video data. His major contribution lies in developing a Mediapipe and LSTM-based deep learning framework that efficiently decodes human stance and movement information to identify activities. This work addresses a challenging area of computer vision, offering a practical solution for recognizing complex human actions in real-world scenarios. While his citation count is currently modest, with two citations for his 2023 paper, his research holds significant potential for applications in surveillance, human-computer interaction, and automated video analysis. Nagesh’s approach combines the strengths of Mediapipe for pose estimation with LSTM networks for temporal sequence modeling, showcasing a thoughtful integration of techniques that could inspire further advancements in action recognition systems.
Research Focus
Key Achievements
Top Papers
- 1Human Action Recognition using Deep Learning Technique2 citations · 2023
- 2Human Action Recognition Using Deep Learning Technique2 citations · 2023