Procrustes Shape Analysis for Fall Detection - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2008

Procrustes Shape Analysis for Fall Detection

Abstract

In Western countries, the growing population of seniors brings us to think about new healthcare systems to ensure the safety of elderly people at home. Falls are one of the greatest risk for seniors living alone. Computer vision provides a promising solution to analyze people behavior and detect some unusual events like falls. In this paper, we propose to detect falls by analyzing the human shape deformation during the video sequence. The elderly silhouette is tracked along the video sequence using shape context matching. These silhouettes are then used to quantify the deformation based on Procrustes shape analysis. Our algorithm gives very promising results on video sequences of daily activities and simulated falls.
Fichier principal
Vignette du fichier
VS2008-Poster-s.pdf (399.5 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00325643 , version 1 (29-09-2008)

Identifiers

  • HAL Id : inria-00325643 , version 1

Cite

Caroline Rougier, Jean Meunier, Alain St-Arnaud, Jacqueline Rousseau. Procrustes Shape Analysis for Fall Detection. The Eighth International Workshop on Visual Surveillance - VS2008, Graeme Jones and Tieniu Tan and Steve Maybank and Dimitrios Makris, Oct 2008, Marseille, France. ⟨inria-00325643⟩

Collections

VS2008
199 View
392 Download

Share

Gmail Facebook X LinkedIn More