PRoCeSS: Pose Recovery in Context Specific Scenarios

Lead Research Organisation: Kingston University
Department Name: Fac of Science Engineering and Computing


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 )


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Lewandowski M (2010) Automatic configuration of spectral dimensionality reduction methods in Pattern Recognition Letters

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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

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Moutzouris A. (2012) Human pose tracking by Hierarchical Manifold Searching in Proceedings - International Conference on Pattern Recognition

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 05/2008 
End 05/2010