Banafshe Arbab-Zavar
Banafshe Arbab-Zavar
Research Engineer, IT Innovation Centre, University of Southampton
Geverifieerd e-mailadres voor ecs.soton.ac.uk
Geciteerd door
Geciteerd door
The ear as a biometric
DJ Hurley, B Arbab-Zavar, MS Nixon
Handbook of Biometrics, 131-150, 2008
On guided model-based analysis for ear biometrics
B Arbab-Zavar, MS Nixon
Computer Vision and Image Understanding 115 (4), 487-502, 2011
On shape-mediated enrolment in ear biometrics
B Arbab-Zavar, MS Nixon
Advances in Visual Computing: Third International Symposium, ISVC 2007, Lake …, 2007
Robust log-gabor filter for ear biometrics
B Arbab-Zavar, MS Nixon
2008 19th International Conference on Pattern Recognition, 1-4, 2008
On model-based analysis of ear biometrics
B Arbab-Zavar, MS Nixon, DJ Hurley
2007 First IEEE International Conference on Biometrics: Theory, Applications …, 2007
On use of biometrics in forensics: gait and ear
MS Nixon, I Bouchrika, B Arbab-Zavar, JN Carter
2010 18th European Signal Processing Conference, 1655-1659, 2010
Multi-modal computer vision for the detection of multi-scale crowd physical motions and behavior in confined spaces
Z Sabeur, N Doulamis, L Middleton, B Arbab-Zavar, G Correndo, ...
Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las …, 2015
Large scale surveillance, detection and alerts information management system for critical infrastructure
Z Sabeur, Z Zlatev, P Melas, G Veres, B Arbab-Zavar, L Middleton, ...
Environmental Software Systems. Computer Science for Environmental …, 2017
On forensic use of biometrics
B Arbab‐Zavar, X Wei, JD Bustard, MS Nixon, CT Li
Handbook of digital forensics of multimedia data and devices, 270-304, 2015
On hierarchical modelling of motion for workflow analysis from overhead view
B Arbab-Zavar, JN Carter, MS Nixon
Machine vision and applications 25, 345-359, 2014
Multi-scale crowd feature detection using vision sensing and statistical mechanics principles
B Arbab-Zavar, ZA Sabeur
Machine Vision and Applications 31 (4), 1-16, 2020
EO Big Data connectors and analytics for understanding the effects of climate change on migratory trends of marine wildlife
ZA Sabeur, G Correndo, G Veres, B Arbab-Zavar, J Lorenzo, T Habib, ...
International Symposium on Environmental Software Systems, 85-94, 2017
Context ontology modelling for improving situation awareness and crowd evacuation from confined spaces
G Correndo, B Arbab-Zavar, Z Zlatev, ZA Sabeur
International Symposium on Environmental Software Systems, 407-416, 2015
EO big data analytics for the discovery of new trends of marine species habitats in a changing global climate
Z Sabeur, G Correndo, G Veres, B Arbab-Zavar, G Neumann, TD Ivall, ...
European Union, 2017
On supervised human activity analysis for structured environments
B Arbab-Zavar, I Bouchrika, JN Carter, MS Nixon
International Symposium on Visual Computing, 625-634, 2010
Crowd Behaviour Understanding Using Computer Vision and Statistical Mechanics Principles
Z Sabeur, B Arbab-Zavar
Crowd Dynamics, Volume 3, 49-71, 2021
Tools for semi-automatic monitoring of industrial workflows
R Mörzinger, M Sardis, I Rosenberg, H Grabner, G Veres, I Bouchrika, ...
Proceedings of the first ACM international workshop on Analysis and …, 2010
High-level feature extraction for crowd behaviour analysis: a computer vision approach
A Bruno, M Ferjani, Z Sabeur, B Arbab-Zavar, D Cetinkaya, L Johnstone, ...
Italian Association for Research in Computer Vision, Pattern Recognition and …, 2021
Compressed Sensing Data with Performing Audio Signal Reconstruction for the Intelligent Classification of Chronic Respiratory Diseases
T Albiges, Z Sabeur, B Arbab-Zavar
Sensors 23 (3), 1439, 2023
Automated detection of tsunamigenic signatures and reporting using multi-scale offshore in situ measurements for early tsunami warning and critical decision-support
ZA Sabeur, B Arbab-Zavar, R Samperio, A Armigliato, R Omira, J Wächter, ...
EGU General Assembly Conference Abstracts, 12411, 2012
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