I was born in Athens in 1984. I received my B.Eng.
in Electrical Engineer from T.E.I. of Patras (2005-2009) and M.Sc.
degree in Electronics and Information Processing (2009-2011) from the Department of
Physics, University of Patras, Greece. In May 2017, I received my PhD in the area
of Computer Vision and Machine Learning from the UDepartment of Physics, University
of Patras, Greece, under the supervision of Prof. Spiros Fotopoulos. During my PhD
I worked on Multi-level Machine Learning Methods for Activity Analysis/Recognition.
My research interests include Machine Learning and Pattern Recognition for activity
analysis and image understanding as well as feature representation learning methods.
I have also been working on the problem of HEp-2 cell classification. Since 2013 I
also work at IridaLabs S.A., as and Software Engineer for Computer Vision and
Machine Learning solutions mainly for embedded systems.
Google Scholar Profile
Contact: dkastaniotis @at upatras dot(.) gr
Latest newsOct 2016:New paper accepted in Pattern Recognition Letters: Gait based recognition via fusing information from Euclidean and Riemannian manifolds, Dimitris Kastaniotis, Ilias Theodorakopoulos, George Economou and Spiros Foropoulos, Pattern Recognition, In Press.
June 2016: New database for gait recognition captured with Kinect 2 sensor will be freely available soon. For more information contact me.
July 2015: New Paper available online!
Dimitris Kastaniotis, Ilias Theodorakopoulos, Christos Theoharatos, George Economou, Spiros Fotopoulos, A framework for gait-based recognition using Kinect, Pattern Recognition Letters, Available online 9 July 2015, ISSN 0167-8655, http://dx.doi.org/10.1016/j.patrec.2015.06.020.
The paper is freely available here. (free until January 10, 2016).
November 2015: UPCV gait dataset v2 released. In this version I have added a Matlab script allowing users to preview gait sequences.