Visual Object Tracking and Classification Using Multiple Sensor Measurements
Licentiatavhandling, 2013
sensor fusion
Riemannian manifold
visual pattern classification
multiple view geometry
Visual object tracking
boosting
multiple sensor measurement
Författare
Yixiao Yun
Chalmers, Signaler och system, Signalbehandling och medicinsk teknik
Multi-view Face Pose Classification by Boosting with Weak Hypothesis Fusion Using Visual and Infrared Images
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,;(2012)p. 1949-1952
Paper i proceeding
Multi-Class Ada-Boost Classification of Object Poses through Visual and Infrared Image Information Fusion
Proceedings - International Conference on Pattern Recognition, 21st ICPR 2012, Tsukuba,Japan, 11-15 November 2012,;(2012)p. 2865-2868
Paper i proceeding
Image Classification by Multi-Class Boosting of Visual and Infrared Fusion with Applications to Object Pose Recognition
Swedish Symposium on Image Analysis (SSBA 2013), March 14-15, Göteborg, Sweden,;(2013)p. 4-
Övrigt konferensbidrag
Multi-View Hand Tracking using Epipolar Geometry-Based Consistent Labeling for an Industrial Application
Seventh ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2013), Oc.29-Nov.1, Palm Springs, California, USA,;(2013)p. 6-
Paper i proceeding
Maximum-Likelihood Object Tracking from Multi-View Video by Combining Homography and Epipolar Constraints
6th ACM/IEEE Int'l Conf on Distributed Smart Cameras (ICDSC 12), Oct 30 - Nov.2, 2012, Hong Kong,;(2012)p. 6 pages-
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
Styrkeområden
Informations- och kommunikationsteknik
Transport
Ämneskategorier
Geometri
Systemvetenskap
Signalbehandling
Datorseende och robotik (autonoma system)
R - Department of Signals and Systems, Chalmers University of Technology: R021/2013
Room EC, floor 5, Hörsalsvägen 11, Chalmers University of Technology
Opponent: Associate Professor Volker Krüger (Aalborg University Copenhagen, Denmark)