Prerana Mukherjee
Papers
1
Total Citations
4
H-Index
1
About
Prerana Mukherjee is a researcher whose work lies at the intersection of computer vision, robotics, and real-time video analytics. Her key contributions focus on developing intelligent systems for automated sports analysis and dynamic object tracking. Her most cited paper, "A real-time ball trajectory follower using Robot Operating System" (2015, 4 citations), tackles the complex challenge of multi-camera coordination in high-stakes sports environments. This work addresses practical problems such as accurate line calls in tennis and corner detection in soccer, proposing a system that can autonomously track a ball's trajectory in real-time without requiring extensive human-operated camera crews. By leveraging the Robot Operating System (ROS), Mukherjee's approach demonstrates how robotic principles can enhance traditional video processing, enabling faster, more reliable decision-making in sports broadcasting and officiating. Her research bridges the gap between theoretical computer vision algorithms and deployable, real-world applications, making automated sports analysis more accessible and accurate. Mukherjee's work continues to inspire new approaches in dynamic object tracking and multi-sensor integration.
Research Focus
Key Achievements
Top Papers
- 1A real-time ball trajectory follower using Robot Operating System4 citations · 2015