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@article{ART003011643},
author={Tan Heyi and Min, Byung-Won},
title={A Research on the Application of Face Recognition Algorithm Based on Convolutional Model and Transformer Model in Community Monitoring System},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2023},
volume={9},
number={5},
pages={61-72},
doi={10.20465/KIOTS.2023.9.5.061}

TY - JOUR
AU - Tan Heyi
AU - Min, Byung-Won
TI - A Research on the Application of Face Recognition Algorithm Based on Convolutional Model and Transformer Model in Community Monitoring System
JO - Journal of Internet of Things and Convergence
PY - 2023
VL - 9
IS - 5
PB - The Korea Internet of Things Society
SP - 61
EP - 72
SN - 2466-0078
AB - The promotion of intelligent security community construction has greatly enhanced the intelligence and safety of residential areas. In order to further establish a security-oriented community, this paper proposes the utilization of facial recognition based on community surveillance footage to identify suspicious individuals. To address the difficulties in capturing facial images caused by factors such as low pixel resolution and varying shooting angles in surveillance footage, the following optimization strategies are proposed in this paper : Firstly, a lightweight global search facial detection network is designed based on convolutional modules and Vision Transformer modules. The Vision Transformer module is introduced to enhance the global retrieval capability of the network. Secondly, the structure of the Vision Transformer module is optimized by adding pooling layers in the feature block extraction and segmentation stage to reduce the number of module parameters. The feature blocks are mapped and computed with the feature maps to improve the corresponding feature correlation. Thirdly, in the face alignment stage, an Anchor Free mechanism is adopted to generate elliptical face localization regions for more accurate fitting of faces and reducing interference from other background information in the final identity recognition stage. Finally, the similarity between faces is calculated using Euclidean space distance to determine corresponding personnel identities. Through relevant experiments and tests on the self-built facial identity dataset in this paper's residential surveillance system, the proposed facial detection network achieves an average improvement of 3.11% in detection accuracy compared to other detection networks, reaching 97.19%. In terms of facial identity recognition, the designed model achieves an average improvement of 3.43% with a recognition accuracy of 95.84.
KW - facial recognition;Vision Transformer;ultra-lightweight.
DO - 10.20465/KIOTS.2023.9.5.061
ER -

Tan Heyi and Min, Byung-Won. (2023). A Research on the Application of Face Recognition Algorithm Based on Convolutional Model and Transformer Model in Community Monitoring System. Journal of Internet of Things and Convergence, 9(5), 61-72.

Tan Heyi and Min, Byung-Won. 2023, "A Research on the Application of Face Recognition Algorithm Based on Convolutional Model and Transformer Model in Community Monitoring System", Journal of Internet of Things and Convergence, vol.9, no.5 pp.61-72. Available from: doi:10.20465/KIOTS.2023.9.5.061

Tan Heyi, Min, Byung-Won "A Research on the Application of Face Recognition Algorithm Based on Convolutional Model and Transformer Model in Community Monitoring System" Journal of Internet of Things and Convergence 9.5 pp.61-72 (2023) : 61.

Tan Heyi, Min, Byung-Won. A Research on the Application of Face Recognition Algorithm Based on Convolutional Model and Transformer Model in Community Monitoring System. 2023; 9(5), 61-72. Available from: doi:10.20465/KIOTS.2023.9.5.061

Tan Heyi and Min, Byung-Won. "A Research on the Application of Face Recognition Algorithm Based on Convolutional Model and Transformer Model in Community Monitoring System" Journal of Internet of Things and Convergence 9, no.5 (2023) : 61-72.doi: 10.20465/KIOTS.2023.9.5.061

Tan Heyi; Min, Byung-Won. A Research on the Application of Face Recognition Algorithm Based on Convolutional Model and Transformer Model in Community Monitoring System. Journal of Internet of Things and Convergence, 9(5), 61-72. doi: 10.20465/KIOTS.2023.9.5.061

Tan Heyi; Min, Byung-Won. A Research on the Application of Face Recognition Algorithm Based on Convolutional Model and Transformer Model in Community Monitoring System. Journal of Internet of Things and Convergence. 2023; 9(5) 61-72. doi: 10.20465/KIOTS.2023.9.5.061

Tan Heyi, Min, Byung-Won. A Research on the Application of Face Recognition Algorithm Based on Convolutional Model and Transformer Model in Community Monitoring System. 2023; 9(5), 61-72. Available from: doi:10.20465/KIOTS.2023.9.5.061

Tan Heyi and Min, Byung-Won. "A Research on the Application of Face Recognition Algorithm Based on Convolutional Model and Transformer Model in Community Monitoring System" Journal of Internet of Things and Convergence 9, no.5 (2023) : 61-72.doi: 10.20465/KIOTS.2023.9.5.061