Sara Bouraya

University of Hassan II Casablanca, Université Hassan 1er

Papers

Total Citations

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About

Sara Bouraya is a researcher advancing the frontiers of computer vision, with a primary focus on object tracking and detection. Her work is centered on the critical challenge of enabling machines to perceive and follow moving objects—whether pedestrians, vehicles, or animals—within video sequences. Bouraya’s most influential contribution is her comprehensive survey, *"Multi object tracking: a survey"* (2021), which has garnered 11 citations. This work provides a vital synthesis of multiple target tracking (MOT) methodologies, a cornerstone for applications ranging from autonomous driving to surveillance. She further explored the landscape of vision tracking through a weighted sum model (WSM)-based comparative study, offering a systematic evaluation of different tracking approaches. In her more recent work, *"Deep Learning object detection models: evolution and evaluation"* (2023), Bouraya traces the rapid evolution of deep learning models that form the backbone of modern object detection systems. By dissecting how computers learn to identify objects based on features like texture, shape, and color, her research provides a clear roadmap for both newcomers and seasoned practitioners in the field.