Abel Sridharan
Papers
1
Total Citations
8
H-Index
1
About
Abel Sridharan is a researcher at the forefront of computer vision and image processing, with a primary focus on enhancing the robustness and efficiency of human tracking systems. His most cited work, "A novel enhanced algorithm for efficient human tracking" (2022), directly addresses the critical challenge of reliably following moving individuals in complex environments—a problem with far-reaching applications in autonomous driving, human-robot interaction, and motion analysis. By proposing a refined algorithmic approach, Sridharan’s contribution aims to improve tracking accuracy and computational efficiency, laying essential groundwork for more responsive and intelligent autonomous systems. Garnering 8 citations, this paper signals growing interest in his methods within the field. His research is particularly valuable for students and engineers developing real-time tracking solutions, as it tackles the persistent trade-off between speed and precision. Sridharan’s work stands as a meaningful step toward making human-aware technology more seamless and dependable in dynamic, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1A novel enhanced algorithm for efficient human tracking8 citations · 2022