World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10894
World Ranking
7089
National Ranking
427

Overview

Sergio A. Velastin is affiliated with Queen Mary University of London in the United Kingdom. Their research predominantly spans the fields of Computer Science and Engineering, with a strong emphasis on Computer Vision and Pattern Recognition as well as Artificial Intelligence.

The scientist's recent publications cover a range of topics related to imaging, activity recognition, and machine learning techniques. Notable papers include:

  • Breast Tumor Classification Using an Ensemble Machine Learning Method, 2020, Journal of Imaging
  • Fall Detection and Activity Recognition Using Human Skeleton Features, 2021, IEEE Access
  • Feature Selection Using Correlation Analysis and Principal Component Analysis for Accurate Breast Cancer Diagnosis, 2021, Journal of Imaging
  • Facial Expression Recognition of Instructor Using Deep Features and Extreme Learning Machine, 2021, Computational Intelligence and Neuroscience
  • Detecting, Tracking and Counting People Getting On/Off a Metropolitan Train Using a Standard Video Camera, 2020, Sensors

Frequent coauthors collaborating with Sergio A. Velastin are:

  • Muhammad Haroon Yousaf
  • Gonzalo Farías
  • Ernesto Fábregas
  • Louahdi Khoudour
  • Alain Crouzil

Their publication record is often featured in venues such as:

  • Sensors
  • IET Conference Proceedings
  • Journal of Imaging
  • arXiv (Cornell University)
  • IEEE Access

The scientist has contributed to book publications, including a title published by Springer Science+Business Media:

  • Advances in Visual Informatics, 2021

Sergio A. Velastin's research topics span key areas including:

  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Anomaly Detection Techniques and Applications
  • Context-Aware Activity Recognition Systems
  • Gait Recognition and Analysis
  • Robotics and Sensor-Based Localization

Their work covers diverse subfields, notably:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Aerospace Engineering
  • Plant Science

Best Publications

  • Intelligent distributed surveillance systems: a review

    M. Valera;S.A. Velastin

  • A Review of Computer Vision Techniques for the Analysis of Urban Traffic

    N. Buch;S. A. Velastin;J. Orwell

  • Crowd analysis: a survey

    Beibei Zhan;Dorothy N. Monekosso;Paolo Remagnino;Sergio A. Velastin

  • Local Fisher Discriminant Analysis for Pedestrian Re-identification

    Sateesh Pedagadi;James Orwell;Sergio Velastin;Boghos Boghossian

  • Crowd monitoring using image processing

    Anthony C. Davies;Jia Hong Yin;Sergio A. Velastin

  • Automatic congestion detection system for underground platforms

    B.P.L. Lo;S.A. Velastin

  • Federated learning enables big data for rare cancer boundary detection

    Unknown

  • How close are we to solving the problem of automated visual surveillance?: A review of real-world surveillance, scientific progress and evaluative mechanisms

    Hannah M. Dee;Sergio A. Velastin

  • MuHAVi: A Multicamera Human Action Video Dataset for the Evaluation of Action Recognition Methods

    Sanchit Singh;Sergio A Velastin;Hossein Ragheb

  • Automatic estimation of crowd density using texture

    A.N. Marana;S.A. Velastin;L.F. Costa;R.A. Lotufo

  • Estimation Of Crowd Density Using Image Processing

    A N Marana;S A Velastin;L F Costa;R A Lotufo

  • Vehicle detection, tracking and classification in urban traffic

    Zezhi Chen;Tim Ellis;Sergio A Velastin

  • Estimating crowd density with Minkowski fractal dimension

    A.N. Marana;L. Da Fontoura Costa;R.A. Lotufo;S.A. Velastin

  • On the efficacy of texture analysis for crowd monitoring

    A.N. Marana;L.F. Costa;R.A. Lotufo;S.A. Velastin

  • Performance evaluation of object tracking algorithms

    F. Yin;D. Makris;S. Velastin

  • PRISMATICA: toward ambient intelligence in public transport environments

    S.A. Velastin;B.A. Boghossian;B.P.L. Lo;Jie Sun

  • Breast Tumor Classification Using an Ensemble Machine Learning Method.

    Adel Saad Assiri;Saima Nazir;Sergio A. Velastin

  • People tracking in surveillance applications

    Luis M. Fuentes;Sergio A. Velastin

  • Fall Detection and Activity Recognition Using Human Skeleton Features

    Heilym Ramirez;Sergio A. Velastin;Ignacio Meza;Ernesto Fabregas

  • Automated measurement of crowd density and motion using image processing

    S.A. Velastin;J.H. Yin;A.C. Davies;M.A. Vicencio-Silva

  • Detection and classification of vehicles for urban traffic scenes

    N. Buch;J. Orwell;S.A. Velastin

Frequent Co-Authors

Paolo Remagnino
Paolo Remagnino Durham University
Tim Ellis
Tim Ellis Kingston University
Benny Lo
Benny Lo Imperial College London
Peter Robinson
Peter Robinson University of Cambridge
Patrick Olivier
Patrick Olivier Monash University
Luciano da Fontoura Costa
Luciano da Fontoura Costa Universidade de São Paulo
Alan Penn
Alan Penn University College London
François Brémond
François Brémond French Institute for Research in Computer Science and Automation - INRIA
Shiguo Lian
Shiguo Lian China Unicom
Mohan M. Trivedi
Mohan M. Trivedi University of California, San Diego

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