Video assisted face recognition in smart classroom
Author(s)
Author(s)
Wang, L.-W.
Date Issued
2024
Publisher
IEEE
Related Publication(s)
Proceedings of the 2024 IEEE International Symposium on Circuits and Systems (ISCAS)
Abstract
Student recognition in smart classrooms is challenging due to low resolution, occlusions, and various face orientations. We propose a video-based approach for robust face recognition. It firstly collects a continuous sequence of face images through inter-frame analysis. Then, it aggregates face features, via statistical elimination of outliers. We introduce a new consistency loss to address varying face resolutions, enabling the learning of scale-robust features. Experimental results demonstrate that our proposed approach improves recognition performance under various conditions compared to previous methods. In our experiments, it achieved the highest recognition accuracy (83.57%) for 8×8 resolution cases.
SFU Affiliated Publication
Yes
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