Papers

1

Total Citations

8

H-Index

1

About

Sombuddha Chatterjee is a researcher whose work bridges computer vision, image processing, and robotics. His most-cited paper, "Controlling an embedded robot through image processing based object tracking using MATLAB" (2016, 8 citations), demonstrates a practical integration of object detection—a core computer vision technology—with embedded systems for real-world applications like smart homes. This contribution highlights his focus on translating theoretical object tracking and detection methods into functional robotic control systems. While his citation count is modest, Chatterjee’s work underscores the growing importance of accessible, MATLAB-based solutions for automating tasks through visual input. His research addresses the challenge of detecting semantic objects (e.g., humans or cars) in digital media, a field with significant implications for autonomous systems and human-computer interaction. By emphasizing applied, low-cost implementations, Chatterjee contributes to making advanced CV techniques more deployable in everyday environments, offering a foundation for future innovations in smart automation and robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Controlling an embedded robot through image processing based object tracking using MATLAB
8 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Maulana Abul Kalam Azad University of Technology, West Bengal

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago