Abdessamad Belangour

University of Hassan II Casablanca, Université Hassan 1er

Papers

Total Citations

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About

Dr. Abdessamad Belangour is a researcher at the forefront of computer vision and software engineering, with a particular focus on multiple object tracking (MOT) and deep learning-based detection. His most cited work, the 2021 survey "Multi object tracking: a survey" (11 citations), provides a comprehensive overview of MOT as a critical stage in video analysis, covering the detection and identification of moving objects such as pedestrians and vehicles. He further advances this field with comparative studies of vision tracking methodologies using weighted scoring models (WSM) and evaluations of deep learning object detection models, as seen in his 2023 paper (3 citations). Beyond computer vision, Dr. Belangour explores the intersection of DevOps and the Internet of Things (IoT), proposing a meta-model approach to streamline software development and deployment in IoT ecosystems (2020, 2 citations). His work bridges theoretical frameworks and practical applications, offering valuable insights for students and researchers tackling real-world challenges in autonomous systems, surveillance, and smart environments. With a growing citation footprint, Dr. Belangour’s contributions are shaping the next generation of intelligent tracking and detection technologies.