[PDF][PDF] Identification of malnutrition and prediction of BMI from facial images using real-time image processing and machine learning
TR Gadekallu, C Iwendi, C Wei… - IET Image Process, 2021 - pdfs.semanticscholar.org
Human faces contain useful information that can be used in the identification of age, gender,
weight etc. Among these biometrics, body mass index (BMI) and body weight are good …
weight etc. Among these biometrics, body mass index (BMI) and body weight are good …
Body weight analysis from human body images
Human body images encode plenty of useful biometric information, such as pupil color,
gender, and weight. Among these, body weight is a good indicator of health conditions …
gender, and weight. Among these, body weight is a good indicator of health conditions …
Dynamic ensembles of exemplar-SVMs for still-to-video face recognition
Face recognition (FR) plays an important role in video surveillance by allowing to accurately
recognize individuals of interest over a distributed network of cameras. Systems for still-to …
recognize individuals of interest over a distributed network of cameras. Systems for still-to …
Cognitive checkpoint: Emerging technologies for biometric-enabled watchlist screening
This paper revisits the problem of individual risk assessment in the layered security model. It
contributes to the concept of balancing security and privacy via cognitive-centric machine …
contributes to the concept of balancing security and privacy via cognitive-centric machine …
[PDF][PDF] Face Synthesis and Partial Face Recognition from Multiple Videos
Surveillancevideosproviderichinformationto…; however, theyoftencontainpartial facial
images that make recognition of the person of interest difficult. The traditional method of …
images that make recognition of the person of interest difficult. The traditional method of …
Aggregative adversarial network for still-to-video face recognition
J Wei, C Ying - 2020 5th International Conference on Computer …, 2020 - ieeexplore.ieee.org
Aiming to tackle the problems of blur, noise, pose variations and occlusion in still-to-video
face recognition, a novel aggregative adversarial network is proposed to aggregate each …
face recognition, a novel aggregative adversarial network is proposed to aggregate each …
[PDF][PDF] Automated face detection and recognition system for video surveillance
S Anwarul - 2023 - dr.ddn.upes.ac.in
An all-encompassing automated system for video surveillance, dedicated to recognizing
faces, consists of various elements: face detection, face alignment, face recognition, and …
faces, consists of various elements: face detection, face alignment, face recognition, and …
[ΒΙΒΛΙΟ][B] Emerging Biometrics: Deep Inference and Other Computational Intelligence
S Yanushkevich, S Eastwood, K Lai, V Shmerko - 2006 - books.google.com
This paper aims at identifying emerging computational intelligence trends for the design and
modeling of complex biometric-enabled infrastructure and systems. Biometric-enabled …
modeling of complex biometric-enabled infrastructure and systems. Biometric-enabled …
[PDF][PDF] Body Weight and Age Analysis from Human Body Images
P Salvi, V Aher, R Wakchaure, SK Korde - 2022 - academia.edu
In the past few decades, overweight and obesity are spreading widely like an epidemic.
Generally, a person is considered overweight by body mass index (BMI). In addition to a …
Generally, a person is considered overweight by body mass index (BMI). In addition to a …
[HTML][HTML] Face recognition in video surveillance from a single reference sample through domain adaptation
S Bashbaghi - 2017 - espace.etsmtl.ca
Face recognition (FR) has received significant attention during the past decades in many
applications, such as law enforcement, forensics, access controls, information security and …
applications, such as law enforcement, forensics, access controls, information security and …