Vili Kellokumpu
Cited by
Cited by
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
Human activity recognition using a dynamic texture based method.
V Kellokumpu, G Zhao, M Pietikäinen
BMVC 1, 2, 2008
Human activity recognition using sequences of postures.
V Kellokumpu, M Pietikäinen, J Heikkilä
MVA, 570-573, 2005
Recognition of human actions using texture descriptors
V Kellokumpu, G Zhao, M Pietikäinen
Machine Vision and Applications 22, 767-780, 2011
RLBP: Robust Local Binary Pattern.
J Chen, V Kellokumpu, G Zhao, M Pietikäinen
BMVC, 2013
Action recognition using ballistic dynamics
SN Vitaladevuni, V Kellokumpu, LS Davis
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
Dynamic texture based gait recognition
V Kellokumpu, G Zhao, SZ Li, M Pietikäinen
Advances in Biometrics: Third International Conference, ICB 2009, Alghero …, 2009
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
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
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
Dynamic textures for human movement recognition
V Kellokumpu, G Zhao, M Pietikäinen
Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010
Ballistic hand movements
VSN Prasad, V Kellokumpu, LS Davis
Articulated Motion and Deformable Objects: 4th International Conference …, 2006
Effect of context in swipe gesture-based continuous authentication on smartphones
P Siirtola, J Komulainen, V Kellokumpu
arXiv preprint arXiv:1905.11780, 2019
Minotaurus: A system for affective human–robot interaction in smart environments
J Röning, J Holappa, V Kellokumpu, A Tikanmäki, M Pietikäinen
Cognitive Computation 6, 940-953, 2014
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
A visual system for hand gesture recognition in human-computer interaction
MA Okkonen, V Kellokumpu, M Pietikäinen, J Heikkilä
Image Analysis: 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark …, 2007
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
Computing particle size distribution of mineral rocks using deep learning-based instance segmentation
A Baraian, V Kellokumpu, J Paaso, L Koresaar, J Kaartinen
2022 10th European Workshop on Visual Information Processing (EUVIP), 1-6, 2022
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), 063022-063022, 2015
Vision-based human motion description and recognition
VP Kellokumpu
University of Oulu, 2011
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