Riemannian Manifold-Based Modeling and Classification Methods for Video Activities with Applications to Assisted Living and Smart Home
Doktorsavhandling, 2016
assisted living
Riemannian manifold
fall detection
smart homes
activities of daily living (ADL)
video tracking
activity classification
Författare
Yixiao Yun
Chalmers, Signaler och system, Signalbehandling och medicinsk teknik
Riemannian Manifold-Based Support Vector Machine for Human Activity Classification in Images
IEEE International Conference on Image Processing (ICIP 2013), Sept.15 - 18, Melbourne, Australia,;(2013)p. 3466-3469
Paper i proceeding
Visual Object Tracking with Online Learning on Riemannian Manifolds by One-Class Support Vector Machines
IEEE International Conference on Image Processing (ICIP 2014), Oct.27 - 30, 2014, Paris, France,;(2014)p. 1902-1906
Paper i proceeding
Visual information-based activity recognition and fall detection for assisted living and ehealthcare
Ambient Assisted Living and Enhanced Living Environments: Principles, Technologies and Control,;(2017)p. 395-425
Kapitel i bok
Human fall detection in videos via boosting and fusing statistical features of appearance, shape and motion dynamics on Riemannian manifolds with applications to assisted living
Computer Vision and Image Understanding,;Vol. 148(2016)p. 111-122
Artikel i vetenskaplig tidskrift
Exploiting Riemannian Manifolds for Daily Activity Classification in Video Towards Health Care
IEEE International Conference on E-health Networking, Application & Services (HealthCom 2016), Munich, Germany, Sept. 14-17, 2016.,;(2016)p. 363-368
Paper i proceeding
Multi-View ML Object Tracking with Online Learning on Riemannian Manifolds by Combining Geometric Constraints
IEEE Journal on Emerging and Selected Topics in Circuits and Systems,;Vol. 3(2013)p. 12 -197
Artikel i vetenskaplig tidskrift
Part-based features and geodesic-induced kernel machine for human activity classification on Riemannian manifolds
Visual information-based activity recognition and fall detection for assisted living and ehealthcare (Chapter 15, Elsevier book on Ambient Assisted Living and Enhanced Living Environments: Principles, Technologies and Control)
Time-dependent bag of words on manifolds for geodesic-based classification of video activities
Styrkeområden
Informations- och kommunikationsteknik
Transport
Ämneskategorier
Robotteknik och automation
Signalbehandling
Datorseende och robotik (autonoma system)
ISBN
978-91-7597-421-7
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4102
Utgivare
Chalmers
EB, Hörsalsvägen 11, Chalmers
Opponent: Prof. Michael Felsberg, Linköping University, Sweden