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Estimating the projected frontal surface area of cyclists from images using a variational framework and statistical shape and appearance models (2017)
Journal Article
Drory, A., Li, H., & Hartley, R. (2017). Estimating the projected frontal surface area of cyclists from images using a variational framework and statistical shape and appearance models. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 231(3), 169-183. https://doi.org/10.1177/1754337117705489

We present a computer vision-based approach to estimating the projected frontal surface area (pFSA) of cyclists from unconstrained images. Wind tunnel studies show a reduction in cyclists’ aerodynamic drag through manipulation of the cyclist’s pose.... Read More about Estimating the projected frontal surface area of cyclists from images using a variational framework and statistical shape and appearance models.

A learning-based markerless approach for full-body kinematics estimation in-natura from a single image (2017)
Journal Article
Drory, A., Li, H., & Hartley, R. (2017). A learning-based markerless approach for full-body kinematics estimation in-natura from a single image. Journal of Biomechanics, 55, 1-10. https://doi.org/10.1016/j.jbiomech.2017.01.028

We present a supervised machine learning approach for markerless estimation of human full-body kinematics for a cyclist from an unconstrained colour image. This approach is motivated by the limitations of existing marker-based approaches restricted b... Read More about A learning-based markerless approach for full-body kinematics estimation in-natura from a single image.

Automated detection and tracking of slalom paddlers from broadcast image sequences using cascade classifiers and discriminative correlation filters (2016)
Journal Article
Drory, A., Zhu, G., Li, H., & Hartley, R. (2017). Automated detection and tracking of slalom paddlers from broadcast image sequences using cascade classifiers and discriminative correlation filters. Computer Vision and Image Understanding, 159, 116-127. https://doi.org/10.1016/j.cviu.2016.12.002

This paper addresses the problem of automatic detection and tracking of slalom paddlers through a long sequence of sports broadcast images comprised of persistent view changes. In this context, the task of visual object tracking is particularly chall... Read More about Automated detection and tracking of slalom paddlers from broadcast image sequences using cascade classifiers and discriminative correlation filters.