[HTML][HTML] Face recognition systems: A survey

Y Kortli, M Jridi, A Al Falou, M Atri - Sensors, 2020 - mdpi.com
Over the past few decades, interest in theories and algorithms for face recognition has been
growing rapidly. Video surveillance, criminal identification, building access control, and …

[HTML][HTML] Person recognition system based on a combination of body images from visible light and thermal cameras

DT Nguyen, HG Hong, KW Kim, KR Park - Sensors, 2017 - mdpi.com
The human body contains identity information that can be used for the person recognition
(verification/recognition) problem. In this paper, we propose a person recognition method …

[HTML][HTML] Detection of objects in the images: from likelihood relationships towards scalable and efficient neural networks

NA Andriyanov, VE Dementiev, AG Tashlinskii - Computer Optics, 2022 - computeroptics.ru
The relevance of the tasks of detecting and recognizing objects in images and their
sequences has only increased over the years. Over the past few decades, a huge number of …

[HTML][HTML] Hsc70-4 deforms membranes to promote synaptic protein turnover by endosomal microautophagy

V Uytterhoeven, E Lauwers, I Maes, K Miskiewicz… - Neuron, 2015 - cell.com
Synapses are often far from their cell bodies and must largely independently cope with
dysfunctional proteins resulting from synaptic activity and stress. To identify membrane …

[HTML][HTML] Обнаружение объектов на изображении: от критериев Байеса и Неймана–Пирсона к детекторам на базе нейронных сетей EfficientDet

НА Андриянов, ВЕ Дементьев… - Компьютерная …, 2022 - cyberleninka.ru
Актуальность задач обнаружения и распознавания объектов на изображениях и их
последовательностях с годами только возрастает. За последние несколько …

[HTML][HTML] Convolutional neural network-based human detection in nighttime images using visible light camera sensors

JH Kim, HG Hong, KR Park - Sensors, 2017 - mdpi.com
Because intelligent surveillance systems have recently undergone rapid growth, research
on accurately detecting humans in videos captured at a long distance is growing in …

[HTML][HTML] Research on plant leaf recognition method based on multi-feature fusion in different partition blocks

Z Lv, Z Zhang - Digital Signal Processing, 2023 - Elsevier
As an indispensable organism in nature, plants play an essential role in the ecological
equilibrium. Ecological plant protection is also receiving increasing attention. In today's …

Single sample face recognition in the last decade: a survey

N Kumar, V Garg - International Journal of Pattern Recognition and …, 2019 - World Scientific
Single sample face recognition (SSFR) is a challenging research problem in which only one
face image per person is available for training. Moreover, the face image may have different …

An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals

E Okafor, L Schomaker, MA Wiering - Journal of Information and …, 2018 - Taylor & Francis
In this paper, we examine a novel data augmentation (DA) method that transforms an image
into a new image containing multiple rotated copies of the original image. The DA method …

Human detection and tracking with deep convolutional neural networks under the constrained of noise and occluded scenes

EU Haq, H Jianjun, K Li, HU Haq - Multimedia Tools and Applications, 2020 - Springer
Human detection and tracking is a key aspect in surveillance system due to its importance in
timely identification of person, recognition of human activity and scene analysis …