PRoCeSS: Pose Recovery in Context Specific Scenarios
Lead Research Organisation:
Kingston University
Department Name: Faculty of Computing Info System & Maths
Abstract
The aim of PRoCeSS is to advance the state-of-the-art in Pose Recovery (i.e. determining the position and orientation of articulated parts of the human body) to the level that can operate reliably outside specialised labs, in real-life scenarios.The PRoCeSS system will be useful in applications such as the coverage and the analysis of sporting events. Athletes' movements will be captured in a 3D representation and analysed. TV will be able to virtually replay sporting events, which will be constructed automatically. Human-computer interfaces based on 3D body motion will provide people with a physical way to interact with machines. Also, visual surveillance will acquire another tool for analysing human behaviour.PRoCeSS will have to challenge real-life restrictions such as cluttered scenes, single cameras or multiple cameras that are well separated from each other. It will attempt to address these issues by exploiting the context of specific scenarios (e.g walking, chatting, opening the door in surveillance, running, kicking the ball in football, serving the ball in tennis) to increase the feasibility of real life Pose Recovery. It will also exploit the link between certain activities and areas of the scene (e.g. sitting down on seat , opening door at the exit, typing keyboard at computer desk ), or the specific sequencing of actions in particular scenarios (e.g. the scenario penalty , consists of the following activities of the player: placing the ball , walking backwards , running forwards and kicking the ball )
Organisations
Publications
Lewandowski M
(2010)
Automatic configuration of spectral dimensionality reduction methods
in Pattern Recognition Letters
Moutzouris A.
(2012)
Human pose tracking by Hierarchical Manifold Searching
in Proceedings - International Conference on Pattern Recognition
Moutzouris A
(2011)
Human pose tracking in low dimensional space enhanced by limb correction
Kuo P
(2011)
Integration of bottom-up/top-down approaches for 2D pose estimation using probabilistic Gaussian modelling
in Computer Vision and Image Understanding
Nebel J
(2011)
Multimedia Analysis, Processing and Communications
Zhu J
(2022)
The Potential Protective Role of GS-441524, a Metabolite of the Prodrug Remdesivir, in Vaccine Breakthrough SARS-CoV-2 Infections.
in Intensive care research
Martinez Del Rincon J
(2011)
Tracking human position and lower body parts using Kalman and particle filters constrained by human biomechanics.
in IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
Description | EPSRC CASE PhD Studentship |
Amount | £66,838 (GBP) |
Funding ID | EP/I501479/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2011 |
End | 09/2014 |
Description | Knowledge Transfer Partnership (KTP) |
Amount | £110,528 (GBP) |
Funding ID | KTP006563 |
Organisation | Innovate UK |
Sector | Public |
Country | United Kingdom |
Start | 04/2008 |
End | 05/2010 |