Sergio Alejandro Velastin
Visiting Professor
Queen Mary University of London
London, Reino Unido
Computer Vision, Deep Learning, Object localisation and classification, Intelligent Transport Systems
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BSc Honours, University of Manchester. Reino Unido, 1978
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MSc, University of Manchester. Chile, 1979
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PhD, University of Manchester. Chile, 1982
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Senior Research Fellow Part-time
Queen Mary University of London
London, Reino Unido
2014 - Not Available
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Professor Full-time
Universidad de Santiago de Chile
Santiago, Chile
2013 - Not Available
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Catedratico de Excelencia Full-time
Universidad Carlos III de Madrid
Madrid, España
2013 - 2014
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Professor/Director Digital Imaging Research Centre Full-time
Kingston University
London, Reino Unido
2001 - 2013
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Senior Lecturer Full-time
Kings College London
London, Reino Unido
2001 - 2001
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Marie Curie Research Professor Full Time
UNIVERSIDAD CARLOS III DE MADRID
Engineering
Madrid, España
2015 - 2018
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Founder/Reseach Director/Consultant
Ipsotek Ltd.
London, Reino Unido
2001 - Not Available
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Marie Curie Research Professor Full Time
Universidad Carlos III de Madrid
Madrid, España
2015 - 2018
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Senior Researcher Full Time
Cortexica Vision Systems Ltd
London, Reino Unido
2018 - 2019
Research supervision (PhD), all completed, Kings College London to 2001: “Mahalanobis Distance Hough Transform with Extended Kalman Filtering”, “Transputer-based computer architectures for cooperating robots”, “Crowd monitoring using image processing”, “Towards verification of MASCOT designs using Petri Nets”, “Coloured Petri Nets for software design verification”, “Modelling and Verification of MASCOT designs using LOTOS”, “Real-time motion estimation for complex image scenes”, “Pedestrian detection, tracking and behaviour classification”.
Research Student Supervision (PhD) Kingston University 2001-2012: “Tracking people in crowds across multiple cameras” (Damien Simmonet, completd 2014), “Identification of unusual behaviour in crowds” (Beibei Zhan, completed 2008), “Distributed Architecture for Visual Surveillance Systems” (Valera, Completed 2007), “Multi camera tracking” (F Yin, completed), “Visual surveillance for road traffic monitoring” (Buch, Completed), “Tag and Track in multi-camera networks” (Colombo, completed), "An Architectural Framework for Intelligent Spaces" (R. Herrera, completed subject to minor revisions, 2014)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface |
Catedra de Excelencia |
LASIE=> Large Scale Information Exploitation of Forensic Data |
OBSERVE |
Autonomous Pedestrian Detection (principal investigator=> Dr Pablo Zegers) |
ADDPRIV (Automatic Data relevancy Discrimination for a PRIVacy-sensitive video surveillance) |
Evaluation of Appearance-based Pedestrian Detection |
HAR, "Human Action Recognition" |
Surveillance Video Data Mining |
A DVR for VCA (Video Contents Analysis) |
An Implementation of a MIPSA Surveillance System for Rome |
PROTECTRAIL (Protection of European Railways from Security and Safety Threats) |
Tag and Track for Security and Forensics |
Tracking individuals in crowds with a mixed network of static and PTZ (Pan-Tilt-Zoom) cameras |
Experimental Study of Vehicle Passenger Interactions at Public Transport Stations (PI=> Prof. Rodrigo Fernandez, I was internallional research collaborator) |
A UK-Japan Partnership on Ambient Intelligence |
FARM, "Framework for the Analysis of Rich Media" |
Robust wide-area multi-camera tracking of people and vehicles to improve CCTV visualisation", |
CARETAKER=> “Content Analysis and REtrieval Technologies to Apply Knowledge Extraction to massive Recordings” |
Visual Modelling of People Behaviours and Interactions for Professional Skills Training”, European Office of Aerospace Research |
Robust Methods for Monitoring and Understanding People in Public Spaces |
Surveillance, Evaluation, Research, Validation, and Exploitation |
Getting the best use of CCTV in the Railways |
COmputational HEteRogEneously timed NeTworks |
ADVISOR=> Annotated Digital Video for Surveillance and Optimised Retrieval |
PRISMATICA=> “Pro-active Integrated Systems for Security Management by Technological Institutional and Communication Assistance” |
Assessment of Image Processing techniques as a means of improving Personal Security in Public Transport |
CROMATICA=> “Crowd Management with Telematic Imaging and Communications Assistance” |
Automatic Data relevancy Discrimination for a Privacy-Sensitive Video Surveillance |
Autonomous Pedestrian Detection |
Catedra de Excelencia |
Evaluation of Appearance-based Pedestrian Detection |
Experimental Study of Vehicle Passenger Interactions at Public Transport Stations |
Framework for the Analysis of Rich Media |
Protection of European Railways from Security and Safety Threats |
Surveillance Video Data Mining |
Tag and Track for Security and Forensics |
Tracking individuals in crowds with a mixed network of static and PTZ (Pan-Tilt-Zoom) cameras |
View-independent Human Action Recognition from Single Uncalibrated Camera |
Detection of Motorcycles in Urban Traffic Using Video Analysis: A Review |