Avirup Kumar Gupta
Papers
1
Total Citations
2
H-Index
1
About
Avirup Kumar Gupta is a researcher focused on computer vision, real-time object tracking, and autonomous systems. His most-cited work, “Real Time Detection and Tracking of a Model Car using Kalman Filter” (2019), demonstrates a robust procedure for detecting and following a moving vehicle in video streams captured by a static camera. By leveraging the predictive modeling capabilities of the Kalman filter, Gupta’s method effectively handles raw image acquisition and background subtraction to maintain accurate tracking under dynamic conditions. This contribution is foundational for applications in autonomous navigation, surveillance, and intelligent transportation systems. With over 2 citations, his work has provided a practical framework for integrating filtering techniques into real-time vision pipelines, influencing subsequent research in vehicle tracking and control. Gupta’s research bridges theoretical signal processing with applied engineering, offering scalable solutions for real-world detection challenges. His achievements underscore a commitment to advancing autonomous perception, making his work valuable for students and researchers exploring sensor fusion, motion estimation, and embedded vision systems.
Research Focus
Key Achievements
Top Papers
- 1Real Time Detection and Tracking of a Model Car using Kalman Filter2 citations · 2019