A real-time, multiview fall detection system: A LHMM-based approach

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 18, Issue 11, 2008, Pages 1522-1532

  Thome, Nicolas ^a   Miguet, Serge ^b   Ambellouis, Sébastien ^a  

^a LaboratoireÉlectronique Ondes et Signaux Pour les Transports ^*  (France)

^b UNIVERSITÉ LUMIÈRE LYON 2   (France)

Author keywords

Fall detection; Layered hidden markov model (LHMM); Metric rectification; Multiview pose classification

Indexed keywords

CAMERAS; ELECTRIC NETWORK ANALYSIS; FEATURE EXTRACTION; FUZZY LOGIC; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; LEARNING SYSTEMS; MARKOV PROCESSES; OBJECT RECOGNITION; PHOTOGRAPHY; SENSOR NETWORKS; VIDEO RECORDING;

AUTOMATIC DETECTIONS; CAMERA PLACEMENTS; DESCRIPTOR; EVENT DETECTIONS; FALL DETECTION; FALL DETECTIONS; FUSION UNITS; HIERARCHICAL ARCHITECTURES; IMAGE RECTIFICATIONS; INFERENCE PROBLEMS; LAYERED HIDDEN MARKOV MODEL (LHMM); LEVEL STEPS; METRIC RECTIFICATION; MOTION ANALYSIS; MULTIVIEW POSE CLASSIFICATION; PERVASIVE HOMES; POSTURE CLASSIFICATIONS; SUDDEN CHANGES; TEMPORAL GRANULARITIES; THEORETICAL ANALYSES; VIDEO SEQUENCES;

SECURITY SYSTEMS;

EID: 55149083712     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2008.2005606     Document Type: Article

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