Boukraa Sebti

Papers

Total Citations

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About

Dr. Boukraa Sebti is a researcher specializing in computer vision and autonomous systems, with a particular focus on human-robot interaction and real-time tracking technologies. His most cited work, "Vision Based People Tracking System" (2019), introduces a robust framework for detecting and following moving individuals in video sequences, designed for seamless integration into mobile robotic platforms. This system, which has garnered 3 citations, addresses critical challenges in visual servoing by combining target detection with adaptive tracking algorithms, enabling robots to navigate dynamic environments while maintaining focus on human subjects. Dr. Sebti’s contributions are foundational for applications in assistive robotics, surveillance, and autonomous navigation, where reliable person tracking is essential. His research emphasizes practical, deployable solutions that bridge the gap between theoretical computer vision and real-world robotic systems. By simplifying the implementation of vision-based tracking on resource-constrained mobile robots, Dr. Sebti has advanced the accessibility of intelligent tracking technologies, making his work a valuable reference for students and engineers developing interactive autonomous systems.