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ICPR
2004
IEEE

Activity Summarisation and Fall Detection in a Supportive Home Environment

10 years 6 months ago
Activity Summarisation and Fall Detection in a Supportive Home Environment
Automatic semantic summarisation of human activity and detection of unusual inactivity are useful goals for a vision system operating in a supportive home environment. Learned models of spatial context are used in conjunction with a tracker to achieve these goals. The tracker uses a coarse ellipse model and a particle filter to cope with cluttered scenes with multiple sources of illumination. Summarisation in terms of semantic regions is demonstrated using acted scenes through automatic recovery of the instructions given to the actor. The use of `unusual inactivity' detection as a cue for fall detection is also demonstrated.
Hammadi Nait-Charif, Stephen J. McKenna
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Hammadi Nait-Charif, Stephen J. McKenna
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