Journal Articles

  1. & Energy expenditure estimation using visual and inertial sensors. IET Computer Vision
  2. & Multiple Human Tracking in RGB-D Data: A Survey. IET Computer Vision
  3. & Registration and Modeling From Spaced and Misaligned Image Volumes. IEEE Transactions on Image Processing 25(9), 4379-4393.
  4. & A comparative study of pose representation and dynamics modelling for online motion quality assessment. Computer Vision and Image Understanding 148, 136-152.
  5. & DS-KCF: a real-time tracker for RGB-D data. Journal of Real-Time Image Processing
  6. Integrated Registration, Segmentation, and Interpolation for 3D/4D Sparse Data. ELCVIA Electronic Letters on Computer Vision and Image Analysis 14(3), 6-8.
  7. Integrated Segmentation and Interpolation of Sparse Data. IEEE Transactions on Image Processing 23(1), 110-125.
  8. & Regular black hole motion and stellar orbital resonances. Monthly Notices of the Royal Astronomical Society 383(4), 1619-1638.
  9. & Black Hole Motion as Catalyst of Orbital Resonances. Proceedings of the International Astronomical Union 3(S246), 311-315.

Book Chapters

  1. & Manifold Modeling of the Beating Heart Motion. In Medical Image Understanding and Analysis. (pp. 229-238). Medical Image Analysis and Understanding.
  2. et. al. SPHERE: A Sensor Platform for Healthcare in a Residential Environment. In Designing, Developing, and Facilitating Smart Cities. -333).

Conference Contributions

  1. & (2018). Evaluation of cupboard door sensors for improving activity recognition in the kitchen. Presented at 2018 IEEE International Conference on Pervasive Computing and Communications Workshops,, 167-172. Athens, Greece: PerHealth2018 – Third IEEE PerCom Workshop on Pervasive Health Technologies. doi:10.1109/PERCOMW.2018.8480352
  2. & (2017). Detecting humans in RGB-D data with CNNs. , 306-309.The Fifteenth IAPR International Conference on Machine Vision Applications. doi:10.23919/MVA.2017.7986862
  3. & (2017). What's cooking and why? Behaviour recognition during unscripted cooking tasks for health monitoring. Presented at IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2017,, 18-21. doi:10.1109/PERCOMW.2017.7917511
  4. & (2016). Recognition of unscripted kitchen activities and eating behaviour for health monitoring. Presented at Proceedings of the 2nd IET International Conference on Technologies for Active and Assisted Living,, 1-6. London: 2nd IET International Conference on Technologies for Active and Assisted Living (TechAAL 2016). doi:10.1049/ic.2016.0050
  5. & (2016). A comparative home activity monitoring study using visual and inertial sensors. Presented at 2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015, doi:10.1109/HealthCom.2015.7454583
  6. & (2015). Skeleton-Free Body Pose Estimation from Depth Images for Movement Analysis. Presented at Proceedings of the IEEE International Conference on Computer Vision, doi:10.1109/ICCVW.2015.49
  7. & (2015). A multi-modal sensor infrastructure for healthcare in a residential environment. Presented at 2015 IEEE International Conference on Communication Workshop, ICCW 2015,, 271-277.Workshop on ICT-enabled services and technologies for eHealth and Ambient Assisted Living. doi:10.1109/ICCW.2015.7247190
  8. & (2015). Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling. , 145.1-145.11.British Machine Vision Association and Society for Pattern Recognition. doi:10.5244/c.29.145
  9. & (2014). Online quality assessment of human movement from skeleton data. Presented at BMVC 2014 - Proceedings of the British Machine Vision Conference 2014, doi:10.5244/C.28.79
  10. (2010). Simultaneous level set interpolation and segmentation of short-and long-axis MRI. Presented at Proceedings of Medical Image Understanding and Analysis,

Other Research Outputs

  1. (2014). Depth video and skeleton of people walking up stairs. : University of Bristol.