Kevin Cannons
Kevin Cannons
Postdoctoral Fellow, Simon Fraser University
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A review of visual tracking
K Cannons
Dept. Comput. Sci. Eng., York Univ., Toronto, Canada, Tech. Rep. CSE-2008-07 242, 2008
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
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
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
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
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, 49-69, 2014
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
Visual tracking using a pixelwise spatiotemporal oriented energy representation
KJ Cannons, JM Gryn, RP Wildes
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
An introduction to probabilistic neural networks
V Cheung, K Cannons
Signal & Data Compression Laboratory Electrical & Computer Engineering …, 2002
Spatiotemporal oriented energy features for visual tracking
K Cannons, R Wildes
Asian Conference on Computer Vision, 532-543, 2007
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
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
Video-based crowd counting using a multi-scale optical flow pyramid network
MA Hossain, K Cannons, D Jang, F Cuzzolin, Z Xu
Proceedings of the Asian Conference on Computer Vision, 2020
Domain adaptation in crowd counting
MA Hossain, MKK Reddy, K Cannons, Z Xu, Y Wang
2020 17th Conference on Computer and Robot Vision (CRV), 150-157, 2020
Segmental multi-way local pooling for video recognition
I Kim, S Oh, A Vahdat, K Cannons, AGA Perera, G Mori
Proceedings of the 21st ACM international conference on Multimedia, 637-640, 2013
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
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
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines
A Shahbaz, S Khan, MA Hossain, V Lomonaco, K Cannons, Z Xu, ...
International Workshop on Continual Semi-Supervised Learning, 1-14, 2021
A Unifying Theoretical Framework for Region Tracking
K Cannons, RP Wildes
york university Technical Report, CSE-2013-04, 2013
A biologically inspired gait recognition system using the Hough transform.
K Cannons
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