Identification Algorithm Faces and Criminal Actions
- Authors: Hadi N.M.1
-
Affiliations:
- Russian Technological University MIREA
- Issue: Vol 9, No 3 (2022)
- Pages: 19-31
- Section: Articles
- URL: https://journal-vniispk.ru/2313-223X/article/view/147146
- DOI: https://doi.org/10.33693/2313-223X-2022-9-3-19-31
- ID: 147146
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Abstract
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##article.viewOnOriginalSite##About the authors
Namir Mohamed Hadi
Russian Technological University MIREA
Email: namir.1998@gmail.com
graduate Moscow, Russian Federation
References
- Isolation and recognition of faces [Electronic resource] URL: http://wiki.technicalvision.ru/index.php/Выделение_и_распознавание_лиц (data of accesses: 20.06.2022).
- Wang Q., Wu T., Zheng T., Guo G. Hierarchical pyramid diverse attention networks for face recognition [Electronic resource]. URL: https://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_Hierarchical_Pyramid_Diverse_Attention_Networks_for_Face_Recognition_CVPR_2020_paper.pdf (data of accesses: 20.06.2022).
- Wang Q., Guo G. LS-CNN Characterizing local patches at multiple scales for face recognition // IEEE Transactions on Information Forensics and Security. 2020. No. 15. Pp. 1640-1653.
- Hu J., Shen L., Sun G. Squeeze-and-excitation networks [Electronic resource]. URL: https://arxiv.org/pdf/1709.01507.pdf (data of accesses: 22.06.2022).
- Parchami M., Bashbaghi S., Granger E., Sayed S. Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition [Electronic resource]. URL: https://www.researchgate.net/publication/317951983_Using_Deep_Autoencoders_to_Learn_Robust_Domain-Invariant_Representations_for_Still-to-Video_Face_Recognition (data of accesses: 23.06.2022). @
- Ding C., Tao D. Trunk-branch ensemble convolutional neural networks for video-based face recognition [Electronic resource]. URL: https://arxiv.org/pdf/1607.05427.pdf (data of accesses: 23.06.2022).
- Parchami M., Bashbaghi S., Granger E. Video-based face recognition using ensemble of haar-like deep convolutional neural networks [Electronic resource]. URL: https://www.researchgate.net/publication/314115143_Video-Based_Face_Recognition_Using_Ensemble_of_Haar-Like_Deep_Convolutional_Neural_Networks (data of accesses: 25.06.2022).
- Szegedy C., Liu W., Jia Y. et al. Going deeper with convolutions [Electronic resource]. URL: https://arxiv.org/pdf/1409.4842.pdf (data of accesses: 25.06.2022).
- Schroff F., Kalenichenko D., Philbin J. Facenet: A unified embedding for face recognition and clustering [Electronic resource]. URL: https://arxiv.org/pdf/1503.03832.pdf (data of accesses: 26.06.2022).
- Huang Z., Shan S., Wang R. et al. A benchmark and comparative study of video-based face recognition on cox face database // IP IEEE Trans. 2015. No. 24. Pp. 5967-5981.
- Bashbaghi S., Granger E., Sabourin R., Parchami M. Deep learning architectures for face recognition in video surveillance [Electronic resource]. URL: https://arxiv.org/pdf/1802.09990.pdf (data of accesses: 27.06.2022).
- Sultani W., Chen C., Shah M. Real-world anomaly detection in surveillance videos [Electronic resource]. URL: https://arxiv.org/pdf/1801.04264.pdf (data of accesses: 27.06.2022).
- Azarov D. Viola-Jones face recognition method [Electronic resource]. URL: https://oxozle.com/2015/04/11/method-raspoznavaniya-lic-violy-dzhonsa-viola-jones/ (data of accesses: 27.06.2022).
- Yang B., Yan J., Lei Z., Li S. Z. Aggregate channel features for multi-view face detection [Electronic resource]. URL: https://arxiv.org/pdf/1407.4023.pdf (data of accesses: 27.06.2022).
- Pham M.T., Gao Y., Hoang V.D.D., Cham T.J. Fast polygonal integration and its application in extending haar-like features to improve object detection [Electronic resource]. URL: https://www.researchgate.net/publication/221362661_Fast_Polygonal_Integration_and_Its_Application_in_Extending_Haarlike_Features_to_Improve_Object_Detection (data of accesses: 27.06.2022).
- Zhu Q., Yeh M.C., Cheng K.T., Avidan S. Fast human detection using a cascade of histograms of oriented gradients [Electronic resource]. URL: https://www.merl.com/publications/docs/TR2006-068.pdf (data of accesses: 28.06.22).
- Zhang K., Zhang Z., Li Z. Joint face detection and alignment using multi-task cascaded convolutional networks [Electronic resource]. URL: https://kpzhang93.github.io/MTCNN_face_detection_alignment/paper/spl.pdf (data of accesses: 28.06.22).
- Li H., Lin Z., Shen X., Brandt J., Hua G. A convolutional neural network cascade for face detection [Electronic resource]. URL: https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Li_A_Convolutional_Neural_2015_CVPR_paper.pdf (data of accesses: 28.06.2022).
- PReLU [Электронный ресурс]. URL: https://congyuzhou.medium.com/prelu-e0bc339d9c01 (дата обращения 28.06.2022).
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