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
3652010
Human activity recognition using a dynamic texture based method.
V Kellokumpu, G Zhao, M Pietikäinen
BMVC 1, 2, 2008
1602008
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
852011
RLBP: Robust Local Binary Pattern.
J Chen, V Kellokumpu, G Zhao, M Pietikäinen
BMVC, 2013
792013
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
622009
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
432008
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
342012
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
142017
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
P 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
82007
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
PhD thesis, University of Oulu, Faculty of Technology, Department of …, 2011
22011
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