B.V Swathi
Papers
1
Total Citations
4
H-Index
1
About
B.V. Swathi is a researcher whose work lies at the intersection of computer vision, robotics, and artificial intelligence, with a particular focus on object tracking and motion estimation. Her most cited paper, "Object tracking using block motion estimation with adaptive Kalman estimates" (2017), addresses a critical challenge in tracking moving objects—a task essential for security, surveillance, and autonomous systems. In this work, she introduced an adaptive Kalman filter approach integrated with block motion estimation, enhancing the accuracy and robustness of tracking in dynamic environments. With 4 citations, this contribution has provided a practical solution for improving real-time tracking performance, a key requirement in applications ranging from robotics to AI-driven monitoring. Swathi’s research underscores the complexity of tracking moving objects, where factors like occlusion and varying speeds demand innovative algorithmic adaptations. Her work continues to inform advancements in computer vision, offering a foundation for more reliable and efficient tracking systems that are vital for modern technological ecosystems.
Research Focus
Key Achievements
Top Papers
- 1