Vili Kellokumpu
Vili Kellokumpu
Maching Vision Group, University of Oulu
Verified email at ee.oulu.fi
TitleCited byYear
Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes
S Liao, G Zhao, V Kellokumpu, M Pietikäinen, SZ Li
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
3692010
Human activity recognition using a dynamic texture based method.
V Kellokumpu, G Zhao, M Pietikäinen
BMVC 1, 2, 2008
1632008
Human activity recognition using sequences of postures.
V Kellokumpu, M Pietikäinen, J Heikkilä
MVA, 570-573, 2005
1192005
Recognition of human actions using texture descriptors
V Kellokumpu, G Zhao, M Pietikäinen
Machine Vision and Applications 22 (5), 767-780, 2011
842011
RLBP: Robust Local Binary Pattern.
J Chen, V Kellokumpu, G Zhao, M Pietikäinen
BMVC, 2013
772013
Action recognition using ballistic dynamics
SN Vitaladevuni, V Kellokumpu, LS Davis
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
772008
Dynamic texture based gait recognition
V Kellokumpu, G Zhao, SZ Li, M Pietikäinen
International conference on biometrics, 1000-1009, 2009
632009
Texture based description of movements for activity analysis
K Vili, Z Guoying, P Matti
Int. Conf. on Computer Vision Theory and Applications (VISAPP 2008) 1, 206-213, 2008
442008
Can gait biometrics be spoofed?
A Hadid, M Ghahramani, V Kellokumpu, M Pietikäinen, J Bustard, ...
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
352012
Ballistic hand movements
VSN Prasad, V Kellokumpu, LS Davis
International Conference on Articulated Motion and Deformable Objects, 153-164, 2006
202006
Dynamic textures for human movement recognition
V Kellokumpu, G Zhao, M Pietikäinen
Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010
172010
Robust local features for remote face recognition
J Chen, VM Patel, L Liu, V Kellokumpu, G Zhao, M Pietikäinen, ...
Image and Vision Computing 64, 34-46, 2017
162017
Minotaurus: A system for affective human–robot interaction in smart environments
J Röning, J Holappa, V Kellokumpu, A Tikanmäki, M Pietikäinen
Cognitive Computation 6 (4), 940-953, 2014
102014
Combining sparse and dense descriptors with temporal semantic structures for robust human action recognition
J Chen, G Zhao, VP Kellokumpu, M Pietikäinen
2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011
82011
Human activity recognition using a dynamic texture based method
PA Crook, V Kellokumpu, G Zhao, M Pietikainen
Proc of the BMVC, 88.1-88.10, 2008
82008
A visual system for hand gesture recognition in human-computer interaction
MA Okkonen, V Kellokumpu, M Pietikäinen, J Heikkilä
Scandinavian Conference on Image Analysis, 709-718, 2007
72007
Effect of context in swipe gesture-based continuous authentication on smartphones
P Siirtola, J Komulainen, V Kellokumpu
arXiv preprint arXiv:1905.11780, 2019
42019
Gait biometrics under spoofing attacks: an experimental investigation
A Hadid, M Ghahramani, V Kellokumpu, X Feng, J Bustard, M Nixon
Journal of Electronic Imaging 24 (6), 063022, 2015
42015
Vision-based human motion description and recognition
VP Kellokumpu
University of Oulu for public defence in Auditorium TS101, 2011
42011
Affective gait recognition and baseline evaluation from real world samples
V Kellokumpu, M Särkiniemi, G Zhao
Asian Conference on Computer Vision, 567-575, 2016
12016
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Articles 1–20