Robust video surveillance for fall detection based on human shape deformation

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 21, Issue 5, 2011, Pages 611-622

  Rougier, Caroline ^a   Meunier, Jean ^a   St Arnaud, Alain ^b   Rousseau, Jacqueline ^a,c  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

^b Lucille Teasdale Health and Social Service Center   (Canada)

^c CENTRE DE RECHERCHE   (Canada)

Author keywords

Fall detection; Gaussian mixture model (GMM); novelty detection; procrustes shape analysis; shape context; video surveillance

Indexed keywords

FALL DETECTION; GAUSSIAN MIXTURE MODEL (GMM); NOVELTY DETECTION; PROCRUSTES SHAPE ANALYSIS; SHAPE CONTEXT; VIDEO SURVEILLANCE;

COMPUTER VISION; DEFORMATION; GAUSSIAN DISTRIBUTION; HEALTH CARE; MONITORING; VIDEO RECORDING;

SECURITY SYSTEMS;

EID: 79955616414     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2011.2129370     Document Type: Article

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