Depth and thermal information fusion for head tracking using particle filter in a fall detection context
Author:
Affiliation:
1. ECAM Rennes, Campus Ker Lann, Bruz, Rennes, France
2. Inserm, LTSI – UMR 1099, University of Rennes, Rennes, France
3. Neotec Vision, Pacé, France
Publisher
IOS Press
Subject
Artificial Intelligence,Computational Theory and Mathematics,Computer Science Applications,Theoretical Computer Science,Software
Reference35 articles.
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2. Cormier G. Analyse statique et dynamique de cartes de profondeurs: application au suivi des personnes à risque sur leur lieu de vie. Université de Rennes 1; 2015.
3. Sensors fusion for head tracking using Particle filter in a context of falls detection;Halima;First International conference on signal processing & artificial intelligence (ASPAI’ 2019),2019
4. A survey on fall detection: Principles and approaches;Mubashir;Neurocomputing.,2013
5. Challenges, issues and trends in fall detection systems;Igual;Biomedical Engineering Online.,2013
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