Adel Benamara
Papers
1
Total Citations
5
H-Index
1
About
Adel Benamara’s research centers on computer vision and intelligent automation, with a particular focus on real-time multi-object tracking in industrial environments. His most cited work, “Real-Time Multi-object Tracking with Occlusion and Stationary Objects Handling for Conveying Systems” (2016), addresses a critical challenge in automated logistics: maintaining accurate object identification and trajectory prediction even when items are temporarily obscured or stationary on conveyor belts. This contribution is vital for improving efficiency in sorting, packaging, and quality control processes. While his citation count is modest, the practical significance of his algorithm—which robustly handles occlusion and static objects—has informed subsequent developments in warehouse automation and robotics. Benamara’s work exemplifies the intersection of robust tracking algorithms and real-world industrial constraints, offering a foundation for scalable, reliable vision systems in manufacturing and supply chain management.
Research Focus
Key Achievements
Top Papers
- 1