189 citations · 231 across the 7 of their papers we have counts for
7 papers
Group Activity Recognition using Unreliable Tracked Pose
Haritha Thilakarathne, Aiden Nibali, Zhen He +1
Group activity recognition in video is a complex task due to the need for a model to recognise the actions of all individuals in the video and their complex interactions. Recent st…
Pose is all you need: The pose only group activity recognition system (POGARS)
Haritha Thilakarathne, Aiden Nibali, Zhen He +1
We introduce a novel deep learning based group activity recognition approach called the Pose Only Group Activity Recognition System (POGARS), designed to use only tracked poses of…
3D Human Pose Estimation with 2D Marginal Heatmaps
Aiden Nibali, Zhen He, Stuart Morgan +1
Automatically determining three-dimensional human pose from monocular RGB image data is a challenging problem. The two-dimensional nature of the input results in intrinsic ambiguit…
Numerical Coordinate Regression with Convolutional Neural Networks
Aiden Nibali, Zhen He, Stuart Morgan +1
We study deep learning approaches to inferring numerical coordinates for points of interest in an input image. Existing convolutional neural network-based solutions to this problem…
Continuous Video to Simple Signals for Swimming Stroke Detection with Convolutional Neural Networks
Brandon Victor, Zhen He, Stuart Morgan +1
In many sports, it is useful to analyse video of an athlete in competition for training purposes. In swimming, stroke rate is a common metric used by coaches; requiring a laborious…
Extraction and Classification of Diving Clips from Continuous Video Footage
Aiden Nibali, Zhen He, Stuart Morgan +1
Due to recent advances in technology, the recording and analysis of video data has become an increasingly common component of athlete training programmes. Today it is incredibly ea…