Kevin Cannons
Kevin Cannons
Postdoctoral Fellow, Simon Fraser University
Verified email at sfu.ca
TitleCited byYear
A review of visual tracking
K Cannons
Dept. Comput. Sci. Eng., York Univ., Toronto, Canada, Tech. Rep. CSE-2008-07 242, 2008
1312008
Efficient action spotting based on a spacetime oriented structure representation
KG Derpanis, M Sizintsev, K Cannons, RP Wildes
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
1292010
Compositional models for video event detection: A multiple kernel learning latent variable approach
A Vahdat, K Cannons, G Mori, S Oh, I Kim
Proceedings of the IEEE International Conference on Computer Vision, 1185-1192, 2013
682013
Action spotting and recognition based on a spatiotemporal orientation analysis
KG Derpanis, M Sizintsev, KJ Cannons, RP Wildes
IEEE transactions on pattern analysis and machine intelligence 35 (3), 527-540, 2012
642012
Similarity constrained latent support vector machine: An application to weakly supervised action classification
N Shapovalova, A Vahdat, K Cannons, T Lan, G Mori
European Conference on Computer Vision, 55-68, 2012
582012
Multimedia event detection with multimodal feature fusion and temporal concept localization
S Oh, S Mccloskey, I Kim, A Vahdat, KJ Cannons, H Hajimirsadeghi, ...
Machine vision and applications 25 (1), 49-69, 2014
492014
Visual tracking using a pixelwise spatiotemporal oriented energy representation
KJ Cannons, JM Gryn, RP Wildes
European Conference on Computer Vision, 511-524, 2010
462010
Signal classification through multifractal analysis and complex domain neural networks
W Kinsner, V Cheung, K Cannons, J Pear, T Martin
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2006
462006
Spatiotemporal oriented energy features for visual tracking
K Cannons, R Wildes
Asian Conference on Computer Vision, 532-543, 2007
422007
An introduction to probabilistic neural networks
V Cheung, K Cannons
URL: http://www. psi. toronto. edu/∼ vincent/research/presentations/PNN …, 2003
362003
TRECVID 2012 GENIE: Multimedia event detection and recounting
AGA Perera, S Oh, P Megha, T Ma, A Hoogs, A Vahdat, K Cannons, ...
In TRECVID Workshop, 2012
352012
The applicability of spatiotemporal oriented energy features to region tracking
KJ Cannons, RP Wildes
IEEE transactions on pattern analysis and machine intelligence 36 (4), 784-796, 2013
252013
Spatiotemporal motion analysis for the detection and classification of moving targets
DY Chen, K Cannons, HR Tyan, SW Shih, HYM Liao
IEEE transactions on multimedia 10 (8), 1578-1591, 2008
222008
Segmental multi-way local pooling for video recognition
I Kim, S Oh, A Vahdat, K Cannons, AG Perera, G Mori
Proceedings of the 21st ACM international conference on Multimedia, 637-640, 2013
82013
Trecvid 2013 genie: Multimedia event detection and recounting
S Oh, AGA Perera, I Kim, M Pandey, K Cannons, H Hajimirsadeghi, ...
Parade 1 (26.0), 51.7, 2013
32013
Efficient video quality assessment based on spacetime texture representation
P Peng, K Cannons, ZN Li
Proceedings of the 21st ACM international conference on Multimedia, 641-644, 2013
32013
A unifying Theoretical Framework for Region Tracking
K Cannons, RP Wildes
york university Technical Report, CSE-2013-04, 2013
12013
A biologically inspired gait recognition system using the Hough transform.
K Cannons
12004
2014 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 36
R Abiantun, N Ahuja, A Aissani, K Ait-Mohand, K Aizawa, Z Akata, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (1), 209, 2015
2015
Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach (Open Access)
A Vahdat, K Cannons, G Mori, S Oh, I Kim
Simon Fraser University Burnaby Canada, 2014
2014
The system can't perform the operation now. Try again later.
Articles 1–20