Welcome to Huiyu Zhou's Homepage!

Huiyu Zhou, BEng, MSc, PhD     

Official HomepageClick here

Job Title: Lecturer (Assistant Professor)

University Email: h.zhou@qub.ac.uk

Office: Room 02.024, ECIT

Phone: +44 28 90971753 (or 90974875)

Research Centre:

The Institute of Electronics, Communications and Information Technology (ECIT)

School of Electronics, Electrical Engineering and Computer Science

Queen's University of Belfast

Belfast, BT3 9DT

United Kingdom


Research interests: Computer vision, human-computer interaction, intelligent systems and signal processing.

ResearcherID: O-2692-2014

ORCID: http://orcid.org/0000-0003-1634-9840


  • Our paper entitled "k-fold subsampling based sequential backward feature elimination" won the "Best Paper Award in the Area of Applications" of International Conference on Pattern Recognition Applications and Methods (ICPRAM), Rome, Italy, 24-26 Feb. 2016.
  • Dr. H. Zhou started serving as an Associate Editor of IEEE Transaction on Human-Machine Systems, 06/02/2016.
  • We are now recruiting a Research Assistant. Please see this advertisement for details: AUTOMAC Project.
  • Warmly welcome Z. Jiang to join our research team, October, 2015.
  • Keynote speaker at "International Conference on Material Engineering and Mechanical Engineering" held in Hangzhou, China, 23-25 October, 2015.
  • Dr. S. Li of GE Canada visited ECIT and gave a seminar entitled "Image centered analytics in big medical data", 20 May, 2015.
Call for Papers

Biography      Teaching      Research      Selected Publications      Research Team      Invited Presentation


Huiyu Zhou obtained a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was then awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom, where he worked with Professors Patrick Green and Andy Wallace for his PhD thesis entitled "Efficient ego-motion tracking and obstacle detection using gait analysis".

Dr. Zhou is presently a lecturer at Queen's University of Belfast. He has worked in Guangxi Medical University (China), Elscint Ltd. (Israel), University of Essex (UK), University of London (UK), and Brunel University (UK). He has taken part in the consortiums of a number of research projects in medical image processing, computer vision, intelligent systems and data mining. Currently, he is developing new techniques for event search and retrieval. A recent interview with UK FUTURE TV reveals his research background and interests [VIDEO].

Dr. Zhou has published over 120 peer reviewed papers in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", "ICPRAM 2016 Best Paper Award in the Area of Applications" and was shortlisted for "MBEC 2006 Nightingale Prize". He also won one of the "Best Paper Awards" in the 1993 Annual Conference of China Association for Medical Devices Industry. He currently serves as the Editor-in-Chief of "Recent Advances in Electrical & Electronic Engineering", Associate Editor of IEEE Transactions on Human-Machine Systems and is on the Editorial Boards of several refereed journals. He is a Guest Co-Editor of Pattern Recognition, Neurocomputing, Signal Processing, Signal, Image and Video Processing and Journal of Electrical and Computer Engineering, and a Co-Chair of International Workshop on Sparse Representation for Event Detection in Multimedia. He serves or has served as a technical program committee for 300 conferences in signal and image processing and a reviewer for 100 refereed journals including 20 ACM/IEEE Transactions/Journals. He has given over 50 invited talks at international conferences, industry and universities, and has served as a chair for 30 international conferences and workshops. 

Dr. Zhou has been an external examiner for PhD candidates from several universities of UK and India. He is a reviewer of research grant proposals for EPSRC, NEAT and RSE. He is one of the Technical Committee of "Information Assurance & Intelligent Multimedia-Mobile Communications in IEEE SMC Society", "Biometrics Task Force" and "Robotics Task Force" of the Intelligent Systems Applications technical Committee, IEEE Computational Intelligence Society. 

  • Web and Mobile App Development (CSC3054/7054). Spring, 2016.
  • Web and Mobile App Development (CSC3054/7054). Spring, 2015. 
  • Web and Mobile App Development (CSC3054/7054). Spring, 2014. 
  • Web and Mobile App Development (CSC7054). Spring, 2013. 
  • Emerging Human Based Security: Biometrics (CSC7002). Spring, 2010. 


Current Funded Projects 

  • H2020-MSCA-ITN-2016: Smartphone analyzers for on-site testing of food quality and safety, 2017-2020, Queen's University of Belfast, United Kingdom. Co-Investigator.
    • The objectives of this project is to develop smartphone based bio-analytical sensing and diagnostics tools for simplified on-site rapid pre-screening of food quality and safety parameters and wireless data transfer to servers of relevant of stakeholders.
    • Team members: tba.
  • B-Secur: Feasibility study of biometrics identification algorithms, 2016, Queen's University of Belfast, United Kingdom. Principal Investigator.
    • The objectives of this project is to evaluate recently developed algorithms for biometrics identification. 
    • Team member: Pushpinder Chouhan.
  • Invest NI: Pathological cancer image analysis, 2016-2019, Queen's University of Belfast, United Kingdom. Co-Investigator.
    • The objectives of this project is to develop new feature representation and classification algorithms for identifying cancerous and non-cancerous areas in pathological images. 
    • Team member: tba.
  • EPSRC/Innovate UK/Invest NI/Industry (EP/N508664/1): The Centre for Secure Information Technology (CSIT 2), 2015-2020, Queen's University of Belfast, United Kingdom. Total project value: £38M. Co-Investigator.
    • The main objective of this project is to establish a global innovation hub for cyber security in order to promote growth in this strategically important sector of the UK economy. In our group, we expect to develop novel machine learning techniques to achieve anomaly detection for smart city infrastructure. 
    • Team member: Sriram Varadarajan.
  • EPSRC (EP/N011074/1): Automated mouse behaviour recognition, 2015-present, Queen's University of Belfast, United Kingdom. Total project value: £98,860. Principal Investigator.
    • The main objective of this project is to design an automated system for detecting and tracking multiple mice, followed by recognition of mouse behaviours including their communication.
    • Team members: Jack Ferguson, David Fullerton and Zheheng Jiang.
  • China Scholarship Council (CSC): Object detection and tracking, 2015-2016, Queen's University of Belfast, United Kingdom. Principal Investigator. 
    • The aims of this project include integration of multiple features for trajectory clustering using a Markov Chain approach, and multi-animal localisation in the scene.
    • Team member: Hailin Li
  • DEL studentship: Development of a portable platform for the detection of antibiotic-resistant bacteria in seafood, 2016-2019, Queen's University of Belfast, United Kingdom. Co-Investigator. 
    • The objectives are to develop an innovative sensing technology based on enzyme-amplified aggregation of plasmonic nanoparticle to produce a distinct colour signal that can be processed by a handheld image processing device. 
    • Team member: Natasha Logan.
  • China Scholarship Council (CSC): Identification of Non-Invasive Tumour In Human Tissue, 2014-2015, Queen's University of Belfast, United Kingdom. Principal Investigator.
    • In this project, we are interested to identify tumour on Haematoxylin & Eosin stained sections, which grow beyond their source into the surrounding normal healthy tissue.
    • Team member: Kun Zhang.
Previous Projects 

  • EPSRC: The Centre for Secure Information Technology (CSIT 1): Security Convergence For Transport Corridors, 2009-2015, Queen's University of Belfast, United Kingdom
    • In this Grand Challenge, we designed a novel event driven computing system that can detect and process events using a heterogeneous sensor network (e.g. CCTV hardware and other security devices). This system has been applied to two major application areas, i.e. a bus and an airport departure lounge.
    • I was leading WP7 on Event Search and Retrieval. Team members: Sriram Varadarajan, Jeong-Gyoo Kim, and Xin Hong
  • EPSRC: ISIS - An Integrated Sensor Information System for Crime Prevention, 2009-2010, Queen's University of Belfast, United Kingdom
    • The ISIS project targeted at detecting threats on public transport, informing key decision makers of the threats and managing its own networks. This project used video cameras, audio microphones and RF/microwave sensors to detect threats as they enter buses or trains. In cases where the passenger is unknown, the developed system also used advanced RF scanning techniques to check for external intrusion into the security zone. The novel contribution of this project consists of automatic human profiling and three dimensional object tracking.
  • EU FP6: RUSHES - Retrieval of Multimedia Semantic Units for Enhanced Reusability, 2007-2009, Brunel University, United Kingdom 
    • The aim of the RUSHES project was to design, implement and validate a system for indexing, accessing and delivering raw, unedited audio-visual footage known in the broadcasting industry as "rushes". This project was intended to promote the reuse of such material and especially its content in the production of new multimedia assets by offering semantic media search capabilities. The major contribution includes techniques for automatic content cataloguing and semantic based indexing, knowledge extraction for semantic inference, semantic based content annotation and interactive navigation.
    • Team members: Mohammad Rafiq Swash, Jawid Azizi, Umar A. Sadiq, and Richard M. Jiang 
  • EPSRC: MOTINAS - Multi-model Object Tracking in A Network of Audio-Visual Sensors, 2006-2007, Queen Mary College, University of London, United Kingdom
    • The aim of this project was to develop a novel scheme for multi-model and multi-sensor tracking. The multi-sensor network is composed of STAC sensors (stereo microphones coupled with rectilinear, omni-directional or pan-tilt-zoom cameras). Sound information is used to discriminate ambiguous visual observation as well as to extend the coverage area of the sensors beyond the field of view of the cameras. The major contribution is a robust and adaptive representation of objects based on their acoustical and visual attributes, while the objects are moving across the network of heterogeneous sensors.   
  • EPSRC: SMART Rehabilitation - Technological Applications for Home Based Stroke Patients, 2004-2006, University of Essex, United Kingdom
    • The aim of this project was to explore how technology could be used to facilitate active in-home rehabilitation for people following stroke. We used orientation sensors that were attached to the wrist and upper limb through clothing. The major contribution of the project is a sensor fusion strategy accompanied by a decision support interface (TV or computer screen) for stroke rehabilitation.
    • Team member: Yaqin Tao          
  • Efficient Ego-Motion Tracking And Obstacle Detection Using Gait Analysis, 2000-2004, Supported by A Multi-Disciplinary Studentship of Heriot-Watt University, United Kingdom
    • The purpose of this study was to design systems that could be used to aid elderly or visually impaired people when they have difficulty in detecting potential tripping hazards. A human gait-based methodology was developed to represent camera motion as a truncated Fourier series. To parameterise this unknown non-linear motion model, we first establish the history of the camera (or human) motion using a classical frame-by-frame analysis, and then apply the iteratively-reweighted least-squares technique for recovery of the motion model. Using the retrieved gait, we undertake an extended "predict-correct" framework (the maximum a posteriori strategy) in order to obtain robust motion estimates. Assuming that the camera position in space has been properly established, we then use this knowledge in combination with the camera motion to construct a safe path ahead of the pedestrian by considering a simple projective invariant analysis.
  • Fast Three-Dimensional Imaging Techniques in Echocardiography, 2004-2007, Co-Investigator, Supported by The Guangxi Natural Science Foundation of China
    • The aim of this project was to propose a novel approach for reconstructing the three dimensional structure of a human heart from two dimensional images. Tracking the variations of the structure is used to analyse the dynamics of the heart. Our contribution consists of new techniques for image denoising, structure from motion, image segmentation and object tracking.   
  • Fuzzy C-Means Algorithms For Image Segmentation And Quantisation, 2008-2011, Queen's University of Belfast, United Kingdom
    • This project was in an attempt to seek optimal solutions towards the challenging over- or under-segmentation (or quantisation) problem. We proposed several new schemes for achieving better performance than the other state of the art strategies. The proposed approaches have been evaluated using publicly accessible databases.

Selected Publications 

(Complete list of his publications can be found on: University Website) 

Research Team 

 Current members:

  • Zheheng Jiang, PhD student. Project: Animal behaviour analysis, 2015-present.
  • Andy Park, Part-time PhD student. Project: Human detection from images, 2013-present.
  • Cristina Surlea, Part-time PhD student. Project: Medical image segmentation, 2013-present.
  • Dr. Sriram Varadarajan, Research Fellow. Project: Anomaly detection through graph matching, 2015-present. 
  • Dr. Xin Hong, Research Fellow. Project: Event search and retrieval, 2012-2015.
 Former members:
    • Chris McClune, MSc student. Project: MyPTApp, 2015.
    • David Fullerton and Zheheng Jiang, MSc students. Project: Animal behaviour analysis, 2015.
    • Jack Ferguson, MSc student. Project: Animal detection and tracking, 2015.
    • Kun Zhang, Visiting researcher. Project: Identification of non-invasive tumour in human tissue, 2014-2015.
    • Dr. Sriram Varadarajan, PhD project: Dynamic background modelling for foreground detection in surveillance video, 2010-2015.
    • Dr. Wenju Zhou, PhD project: Investigation and application of online high-speed visual inspection and precise control, 2010-2014, and now works at Vitec Videocom, Essex.
    • Philip McShane, postgraduate student. Project: MYEA: Maximise your experience application, 2014, and now a PhD student in the School.
    • James Walmsley, postgraduate student. Project: MYEA: Maximise your experience application, 2014. 
    • Sean Egan, postgraduate student. Project: MMSEA: Make my shopping easier application, 2014, and now works at Allstate, Belfast. 
    • Jacek Studzinski, postgraduate student. Project: MMSEA: Make my shopping easier application, 2014, and now works at SR Labs, Belfast.
    • Alex Turnbull, undergraduate student. Project: Find your phone, 2013-2014, and now works at Kainos, Belfast. 
    • Sarah Dynan, undergraduate student. Project: Tour and object recognition application, 2013-2014, and now works at TotalMobile, Belfast.
    • Chris Walsh, undergraduate student. Project: Game engine component - AI path-finding library, 2012-2013.
    • James Blair, undergraduate student. Project: Procedural dungeon generator created in C# and Unity, 2012-2013.
    • Dr. Jeong-Gyoo Kim, Research Fellow. Project: Shape modelling and human detection, 2011-2013.
    • Dr. Jiali Shen, Engineer. Project: Multi-camera object tracking, 2010-2012, and now works at Fidessa, Belfast.
    • Carol Campbell, PhD student. Project: Video event recognition using temporal dynamics, 2009-2011, and now works at NYSE, Belfast.
     If you work in academia, please take a look at these materials provided by other professionals:  

    • 6th International Conference on Innovative Computing Technology (INTECH), Dublin, Ireland, August, 2016. Keynote speech. 
    • 5th International Conference on Future Generation Communication Technologies (FGCT), Luton, UK, August, 2016. Keynote speech. 
    • The 8th International Conference on Computational Intelligence and Software Engineering (CiSE), Nanjing, China, May, 2016. Plenary speech. 
    • "Secure our society - Computer vision techniques for video surveillance", Tutorials, International Conference on Pattern Recognition Applications and Methods (ICPRAM), Rome, Italy, Feb. 2016.
    • "Computer vision techniques for video surveillance", VALSE Webinar, UK, 6 January, 2016.
    • "'Who are you?': human profiling and behaviour analysis", Keynote speech, International Conference on Material Engineering and Mechanical Engineering, Hangzhou, China, October, 2015.
    • "Evidence reasoning for event inference in smart transport video surveillance", Invited talk, Workshop on Video Soft Service, UCAMI/IWAAL, Belfast, United Kingdom, December, 2014.
    • "Evidence reasoning for event inference in smart transport video surveillance", Special session "Smart cameras for smart environments", Int'l Conf. on Distributed Smart Cameras, Venice, Italy, November, 2014.
    • "'Who are you?': human profiling and behaviour analysis", Ocean University of China, China University of Petroleum (Huadong) and Nanjing University of Aeronautics and Astronautics, China, September, 2014.
    • "Markov Chain Monte Carlo approaches in computer vision", Shanghai University, China, December, 2013.
    • "'Who are you?': human profiling and behaviour analysis", China-UK Symposium on Life System Modeling & Simulation, Colchester, United Kingdom, August, 2013.
    • "Computer vision techniques for video surveillance", IASTED International Conference on Computer Graphics and Imaging, Innsbruck, Austria, February, 2013. 
    • "Human profiling and event recognition in video surveillance", University of Ulster, United Kingdom, February, 2012.
    • "Multimedia analysis and reuse of raw unedited audiovisual contents", Aston University, United Kingdom, January, 2009.
    • "Human motion tracking and rehabilitation", The Technology Partnership, Melbourn, United Kingdom, February, 2008.
    • "Audiovisual tracking using STAC sensors", University of Portsmouth, United Kingdom, December, 2007.
    • "Smart sensor for human movement tracking", The IEE Seminar on Sensor System for Intelligent Buildings, Birmingham, United Kingdom, November, 2004.
    • "Efficient motion tracking using gait analysis", McGill University, Montreal, Canada, May, 2004.

    Last modified by Huiyu Zhou: 26 May, 2016, United Kingdom.

    Huiyu Zhou,
    21 Sep 2012, 05:27
    defect detection of bottle caps.avi.rar
    Huiyu Zhou,
    20 Mar 2014, 07:33