Automatic monocular system for human fall detection based on variations in silhouette area

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 2, 2013, Pages 427-436

  Mirmahboub, Behzad ^a   Samavi, Shadrokh ^a   Karimi, Nader ^a   Shirani, Shahram ^b  

^a ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

^b MCMASTER UNIVERSITY   (Canada)

Author keywords

Classification; fall detection; silhouette area; view invariant; visual surveillance

Indexed keywords

BACKGROUND SEPARATION; DATA SETS; FALL DETECTION; HUMAN FALL DETECTION; LIVING ALONE; OLD PEOPLE; ONE CAMERA; SILHOUETTE AREA; VIDEO SEQUENCES; VIEW INVARIANTS; VISION-BASED SYSTEM; VISUAL SURVEILLANCE; VISUAL SYSTEMS; WEARABLE DEVICES;

BIOPHYSICS; CLASSIFICATION (OF INFORMATION); MEDICAL APPLICATIONS;

CAMERAS;

AMBULATORY MONITORING; ARTICLE; AUTOMATIC MONOCULAR SYSTEM; CAMERA; FALLING; SIMULATION; VIDEORECORDING; VISUAL DISPLAY UNIT;

ACCIDENTAL FALLS; COMPUTER SIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MONITORING, AMBULATORY; REPRODUCIBILITY OF RESULTS; SUPPORT VECTOR MACHINES; VIDEO RECORDING;

EID: 84872585591     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2228262     Document Type: Article

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