Robust Video Surveillance for Fall Detection Based on Human Shape Deformation

By Caroline Rougier, Jean Meunier, Alain St-Arnaud, Jacqueline Rousseau. IEEE transactions on circuits and systems for video technology (Print), 2011

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Elderly Fall Detection Systems: A Literature Survey (2020, methodology): “Rougier et al. (2011b) proposed a shape matching technique to track a person’s silhouette through a video sequence.”
A viewpoint-independent statistical method for fall detection (2012, methodology): “Some vision-based methods use 2D appearancebased features to detect falls [10, 12, 14, 15].”
A survey on fall detection: Principles and approaches (2013, methodology): “in [59] proposed a classification method for fall detection by analysing human shape deformation.”
Local structure preserving discriminative projections for RGB-D sensor-based scene classification (2015, unknown): “[62] proposed a robust fall detection scheme based on Kinect sensors, when compared to vision-based methods [34], does not require calibration and is viewpoint independent.”
Challenges, issues and trends in fall detection systems (2013, methodology): “systems [14,15,17,19-23], or from the information provided by the sensors’ observation [28,29].”