Boukerch Haroun

Papers

Total Citations

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About

Boukerch Haroun is a researcher focused on computer vision and mobile robotics, with a particular emphasis on real-time tracking and detection systems. His most cited work, "Vision Based People Tracking System" (2019), introduces a practical framework for detecting and following moving persons in video sequences, designed for seamless integration into mobile robot platforms. This system, composed of a detection module and a tracking module, demonstrates how vision-based algorithms can be applied to autonomous navigation and human-robot interaction. Despite its niche scope, the paper has garnered attention for its clear methodology and potential applications in surveillance and assistive robotics. Haroun’s contributions lie in bridging the gap between theoretical computer vision and deployable robotic systems, offering a low-cost, efficient solution for target tracking. His work underscores the growing importance of vision systems in enabling robots to perceive and interact with dynamic environments. With 3 citations, this paper serves as a foundational reference for researchers exploring people tracking in constrained settings, reflecting Haroun’s commitment to advancing accessible, application-driven robotics research.