Analysing comparative soft biometrics from crowdsourced annotations

D Martinho‐Corbishley, MS Nixon, JN Carter - IET Biometrics, 2016 - Wiley Online Library
… To interpret the annotated pairwise comparisons, we wish to infer the semantic strength
for each soft biometric trait associated with every subject. Strengths, or scores, are measured …

Person retrieval in surveillance videos using deep soft biometrics

HJ Galiyawala, MS Raval, A Laddha - Deep Biometrics, 2020 - Springer
… Soft biometric attributes are useful to generate a description which human understands.
Thus, it bridges the semantic gap between human description and person retrieval system. …

Person retrieval in surveillance using textual query: a review

H Galiyawala, MS Raval - Multimedia Tools and Applications, 2021 - Springer
semantic gap between a human description and a machine as a textual query contains the
person’s soft biometric … Such human description naturally contains soft biometrics like gender (…

A multitask model for person re-identification and attribute recognition using semantic regions

A Specker, A Schumann… - Artificial Intelligence and …, 2020 - spiedigitallibrary.org
semantic regions during the training of both tasks. Therefore, we pretrain an object detector
on human parsing datasets including S different semantic … 𝓛 attr,total for an imput image and …

Biometric authentication using soft biometric traits

R Garg, A Arora, S Singh… - 2018 Fifth International …, 2018 - ieeexplore.ieee.org
biometrics, particularly soft biometrics and explore and discuss the existing researches in the
field of soft biometrics … , “The use of semantic human description as a soft biometric,” in Proc…

Biometric recognition in surveillance scenarios: a survey

J Neves, F Narducci, S Barra, H Proença - Artificial Intelligence Review, 2016 - Springer
… system that performs reliable biometric recognition in such an … in human motion analysis
and biometric recognition suggest … on biometric recognition, and thus, the recognition of human

Clothing analysis for subject identification and retrieval

ES Jaha, MS Nixon - Recent Advances in Intelligent Image Search and …, 2017 - Springer
biometrics utilizes conventional human descriptions and translates these descriptions to the
machine’s biometric … In this chapter we have shown how semantic clothing attributes can be …

FCML-gait: fog computing and machine learning inspired human identity and gender recognition using gait sequences

K Ahmed, M Saini - Signal, Image and Video Processing, 2023 - Springer
… Reid, DA, Nixon, MS: Imputing human descriptions in semantic biometrics. In: Proceedings
of the 2nd ACM workshop on Multimedia in Forensics, Security &Intelligence, pp. 25–30 (…

[PDF][PDF] Imputation of missing product information using deep learning: A use case on the amazon product catalogue

A Najmi - 2019 - wwwmatthes.in.tum.de
… to solve as it requires syntactical, semantic and human like intelligence to … characteristics
are used to identify it in the future. This method can be used for facial recognition and fingerprint

Facial semantic descriptors based on information granules

Y Ren, W Guan, W Liu, J Xi, L Zhu - Information Sciences, 2019 - Elsevier
… Then we further extract the semantic descriptions of the right eyes and noses in Multi-PIE
database. Firstly, we extract five features “Perimeter”, “Height”, “Centroid distance”, “Area” and “…