Fall detection with multiple cameras: An occlusion-resistant method based on 3-D silhouette vertical distribution

IEEE Transactions on Information Technology in Biomedicine

Volumn 15, Issue 2, 2011, Pages 290-300

  Auvinet, Edouard ^a,b   Multon, Franck ^b   Saint Arnaud, Alain ^c   Rousseau, Jacqueline ^a   Meunier, Jean ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

^b UNIVERSITÉ RENNES 2   (France)

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

Author keywords

3 D reconstruction; fall detection; multiple cameras; occlusion

Indexed keywords

3-D SHAPE; 3D RECONSTRUCTION; CAMERA CONFIGURATION; ELDERLY PEOPLE; EMERGENCY SERVICE; FALL DETECTION; FRAMES PER SECONDS; GRAPHIC PROCESSING UNITS; HEALTHY SUBJECTS; INDUSTRIALIZED COUNTRIES; LIVING ALONE; MULTIPLE CAMERAS; OCCLUSION; REAL-TIME IMPLEMENTATIONS; REALISTIC SCENARIO; SENSITIVITY AND SPECIFICITY; VERTICAL AXIS; VERTICAL DISTRIBUTIONS; VOLUME DISTRIBUTIONS;

CAMERAS; FLOORS; REAL TIME CONTROL;

THREE DIMENSIONAL;

ALGORITHM; AMBULATORY MONITORING; ARTICLE; COMPUTER GRAPHICS; FALLING; HUMAN; IMAGE PROCESSING; INSTRUMENTATION; METHODOLOGY; VIDEORECORDING;

ACCIDENTAL FALLS; ALGORITHMS; COMPUTER GRAPHICS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MONITORING, AMBULATORY; VIDEO RECORDING;

EID: 79952464876     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2010.2087385     Document Type: Article

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