Amine Iraqui

Papers

Total Citations

H-Index

About

Amine Iraqui is a researcher whose work sits at the intersection of computer vision, robotics, and biometric security. His most cited contribution, "Fusion of Omnidirectional and PTZ Cameras for Face Detection and Tracking" (2010, 17 citations), addresses a critical challenge in mobile robotics: how to achieve both wide-area surveillance and high-resolution imaging for reliable person authentication. Iraqui’s key innovation lies in designing a hybrid vision system that combines a catadioptric omnidirectional sensor—providing a full 360-degree field of view—with a pan-tilt-zoom (PTZ) camera capable of capturing detailed facial features. This fusion enables a robot to detect and track faces across a large environment while dynamically zooming in for clear identification, a capability essential for secure, autonomous mobile platforms. By solving the trade-off between coverage and resolution, Iraqui’s work has laid foundational groundwork for applications in surveillance, human-robot interaction, and access control. His research exemplifies a practical, systems-level approach to vision-based authentication, demonstrating how sensor integration can overcome the limitations of individual cameras. For students and researchers exploring multi-modal perception or robotic security, Iraqui’s contributions offer a compelling case study in engineering robust, real-world solutions.