A systematic review of intelligence video surveillance: Trends, techniques, frameworks, and datasets
Video surveillance systems obtain a great interest as application-oriented studies that have
been growing rapidly in the past decade. The most recent studies attempt to integrate …
been growing rapidly in the past decade. The most recent studies attempt to integrate …
3D face reconstruction: the road to forensics
3D face reconstruction algorithms from images and videos are applied to many fields, from
plastic surgery to the entertainment sector, thanks to their advantageous features. However …
plastic surgery to the entertainment sector, thanks to their advantageous features. However …
Face recognition with Bayesian convolutional networks for robust surveillance systems
U Zafar, M Ghafoor, T Zia, G Ahmed, A Latif… - EURASIP Journal on …, 2019 - Springer
Recognition of facial images is one of the most challenging research issues in surveillance
systems due to different problems including varying pose, expression, illumination, and …
systems due to different problems including varying pose, expression, illumination, and …
A face image virtualization mechanism for privacy intrusion prevention in healthcare video surveillance systems
Closed-circuit television (CCTV) and video surveillance systems (VSSs) are becoming
increasingly more common each year to help prevent incidents/accidents and ensure the …
increasingly more common each year to help prevent incidents/accidents and ensure the …
Mutual variation of information on transfer-CNN for face recognition with degraded probe samples
S Banerjee, S Das - Neurocomputing, 2018 - Elsevier
Learning based on convolutional neural networks (CNNs) or deep learning has been a
major research area with applications in face recognition (FR). Under degraded conditions …
major research area with applications in face recognition (FR). Under degraded conditions …
[PDF][PDF] Використання спеціальних знань під час розслідування вбивств: дисертація
АГ Вуйма - 2023 - dspace.univd.edu.ua
Анотація Дисертацію присвячено дослідженню теоретичних і практичних проблем
використання спеціальних знань під час розслідування вбивств. За результатами …
використання спеціальних знань під час розслідування вбивств. За результатами …
Face hallucination from low quality images using definition-scalable inference
X Hu, P Ma, Z Mai, S Peng, Z Yang, L Wang - Pattern Recognition, 2019 - Elsevier
To hallucinate super-resolution (super-res) face from a real low-quality face, a super-
resolution technique based on definition-scalable inference (SRDSI) is proposed in this …
resolution technique based on definition-scalable inference (SRDSI) is proposed in this …
Enhancing unsupervised video representation learning by temporal contrastive modelling using 2d CNN
Using video sequence order as a supervised signal has proven to be effective in initializing
2d convnets for downstream tasks like video retrieval and action recognition. Earlier works …
2d convnets for downstream tasks like video retrieval and action recognition. Earlier works …
Research on face recognition algorithm based on deep learning
Y Wang, X Duan - 2021 IEEE 21st International Conference on …, 2021 - ieeexplore.ieee.org
In this paper, a feasible face recognition algorithm based on CNN method and TensorFlow
deep learning framework is proposed for face multi-pose and occlusion recognition …
deep learning framework is proposed for face multi-pose and occlusion recognition …
Legal and organizational principles of person identification by appearance during the investigation of criminal offenses in Ukraine
L Kryvoruchko, O Kucher, V Husieva… - Amazonia …, 2022 - amazoniainvestiga.info
Volumen 11, No 56, Año 2022 Completo Page 1 82 www.amazoniainvestiga.info ISSN 2322- 6307
DOI: https://doi.org/10.34069/AI/2022.56.08.9 How to Cite: Kryvoruchko, L., Kucher, O., Husieva …
DOI: https://doi.org/10.34069/AI/2022.56.08.9 How to Cite: Kryvoruchko, L., Kucher, O., Husieva …