Mengjuan Fei

Nanchang University, Zhejiang University

Papers

Total Citations

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About

Dr. Mengjuan Fei has made focused contributions at the intersection of computer vision and robotics, particularly in the domain of visual tracking. Her research centers on enhancing the reliability and efficiency of object tracking systems, a critical capability for autonomous robotic navigation and interaction. Dr. Fei’s most influential work, “Visual tracking based on improved foreground detection and perceptual hashing” (2014), which has garnered 46 citations, introduces a novel method that integrates refined foreground segmentation with perceptual hashing techniques. This approach significantly improves tracking robustness against challenges such as occlusion and background clutter. Building on this foundation, her subsequent paper, “Robust Visual Tracking Based on Improved Perceptual Hashing for Robot Vision” (2015), further refines the hashing mechanism to bolster stability in dynamic environments. Through these contributions, Dr. Fei has advanced the practical deployment of vision-based tracking in robotic systems, offering computationally efficient solutions that maintain high accuracy. Her work is particularly valuable for researchers developing real-time perception systems in robotics, providing a solid methodological framework for future innovations in autonomous visual tracking.