Fall Detection from Human Shape and Motion History Using Video Surveillance

By Caroline Rougier, Jean Meunier, Alain St-Arnaud, Jacqueline Rousseau. 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007

368 citations recorded by the source corpus.

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Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors (2014, background): “Other possible solutions use infrared cameras [33] and thermal cameras [34].”
Robust Video Surveillance for Fall Detection Based on Human Shape Deformation (2011, methodology): “Recently, we have shown promising preliminary results on how a fall detector could be based on simple shape analysis or head tracking [13], [14].”
A Microphone Array System for Automatic Fall Detection (2012, background): “Some nonwearable devices include floor vibration sensors [9]–[11], video cameras [12], [13], IR cameras [14], and bed sensors [15].”
A Posture Recognition-Based Fall Detection System for Monitoring an Elderly Person in a Smart Home Environment (2012, methodology): “Information from ellipse ﬁtting and a projection histogram along the axes of the ellipse are used as the features for distinguishing different postures of the human.”
A survey on fall detection: Principles and approaches (2013, background): “’s [14] approach is based on a combination of motion history image (MHI) and human shape variation.”