Video analysis is a field within computer vision that involves the automatic interpretation of digital video using computer algorithms. Although humans are readily able to interpret digital video, developing algorithms for the computer to perform the same task has been highly evasive and is now an active research field. Applications include tracking people who are walking; interpreting actions of moving objects and people; and using the technology to replace the array of screens used in monitoring high risk environments, such as airport security. Fundamental problems in video analysis include denoising, searching for events in video, object extraction (e.g., extract all the people in the scene), scale indifference (e.g. recognizing small trees or large trees, or trees close or far to the camera), reconstructing 3d scene information from video, removing vibration or jitter in the video, and spatially and temporally aligning video captured from multiple cameras. The VIP lab has active research in the field of video analysis.
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Directors
Alexander Wong, David A. Clausi, Paul Fieguth
Students
Shahid Haider, Shelley Wang, Devinder Kumar, Ruben Yousuf, M. Javad Shafiee, Hicham Sekkati
Alumni
Abhishek Kumar, Akshaya Mishra, Amir H. Shabani, Fred Tung, Kurtis McBride, Natalie El-Nabbout, Neil Cavan, Parthipan Siva, Qiyao Yu, Ying Liu, Simon Booth, Christian Scharfenberger, Zohreh Azimifar
Related demos
Related publications
Journal articles
Shabani, A. H., J. S. Zelek, and D. A. Clausi, "Multiple scale-specific representations for improved human action recognition
", Pattern Recognition Letters, December, Accepted. Details
Wong, A., M. J. Shafiee, and Z. Azimifar, "Statistical Conditional Sampling for Variable-Resolution Video Compression",Public Library of Science ONE, 2012. Details
Tung, F., J. S. Zelek, and D. A. Clausi, "Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance", Image and Vision Computing, vol. 29, issue 4, pp. 230 - 240, 2011. Details
Jin, F., P. Fieguth, and L. Winger, "Wavelet video denoising with regularized multiresolution motion estimation",EURASIP Journal on Advances in Signal Processing, New York, NY, United States, Hindawi Publishing Corp., pp. 109, 2006. Details
Conference papers
Chung, A., X. Wang, R. Amelard, C. Scharfenberger, J. Leong, A. Wong, and D. A. Clausi, "High-resolution motion-compensated photoplethysmographic imaging for remote heart rate monitoring", SPIE Photonics West, Multimodal Biomedical Imaging X, February, 2015. Details
Shabani, A. H., J. S. Zelek, and D. A. Clausi, "Evaluation of local spatio-temporal salient feature detectors for human action recognition", IEEE Canadian Conference on Computer and Robot Vision, May. Details
Liu, Y., D. He, and P. Fieguth, "ADAPTIVE POST-FILTERING BASED ON LOCAL BINARY PATTERNS", International Conference on Image Processing, Orlando, 2012. Details
Shabani, A. H., D. A. Clausi, and J. S. Zelek, "Improved Spatio-temporal Salient Feature Detection for Action Recognition", British Machine Vision Conference, University of Dundee, Dundee, UK, August, 2011. Details
Liu, Y., P. Fieguth, and A. Wong, "A structure-guided conditional sampling model for video resolution enhancement",IEEE International Conference on Image Processing (IEEE ICIP), 2011. Details
Chan, C., and A. Wong, "Shot Boundary Detection using Genetic Algorithm Optimization", IEEE International Symposium on Multimedia, 2011. Details
Ghaeminia, M. H., A. H. Shabani, and S. B. Shokouhi, "Two-level Parallel Histogram of Appearance for Better Human Tracking in Video", IEEE Machine Vision and Image Processing Conference, Oct., 2010.Details
Shabani, A. H., J. S. Zelek, and D. A. Clausi, "Human action recognition using salient opponent-based motion features",7th Canadian Conference on Computer and Robotic Vision, Ottawa, Ontario, Canada, pp. 362 - 369, March, 2010. Details
Shabani, A. H., M. H. Ghaeminia, and S. B. Shokouhi, "Human tracking using spatialized multi-level histogramming and mean shift", IEEE Canadian Conference on Computer and Robot Vision, May, 2010. Details
Shabani, A. H., J. S. Zelek, and D. A. Clausi, "Robust Local Video Event Detection for Action Recognition", Advances in Neural Information Processing Systems (NIPS), Machine Learning for Assistive Technology Workshop, Whistler, Canada, December, 2010. Details
Ghaeminia, M. H., A. H. Shabani, and S. B. Shokouhi, "Adaptive motion model for human tracking using Particle Filter", International Conference on Pattern Recognition, Aug., 2010. Details
Tung, F., J. S. Zelek, and D. A. Clausi, "Efficient target recovery using STAGE for mean-shift tracking", 6th Canadian Conference on Computer and Robot Vision, Kelowna, British Columbia, Canada, February, 2009. Details
Zaboli, S., and D. A. Clausi, "Video pause detection using wavelets", 6th Canadian Conference on Computer and Robot Vision, Kelowna, British Columbia, Canada, February, 2009. Details
Shabani, A. H., D. A. Clausi, and J. S. Zelek, "Towards a robust spatio-temporal interest point detection for human action recognition", IEEE Canadian Conference on Computer and Robot Vision, Kelowna, BC, Canada, Kelowna, British Columbia, Canada, pp. 237-243, February, 2009. Details
El-Nabbout, N., J. S. Zelek, and D. A. Clausi, "Automatically detecting and tracking people walking through a transparent door with vision", 5th Canadian Conference on Computer and Robot Vision, Windsor, Ontario, Canada, pp. 171 - 178, February, 2008. Details
Jin, F., P. Fieguth, L. Winger, and E. Jernigan, "Adaptive Wiener filtering of noisy images and image sequences",IEEE International Conference on Image Processing, vol. 3, Spain, 2003. Details
Theses
Kumar, A, Panic Detection in Human Crowds using Sparse Coding, , Waterloo, University of Waterloo, August, 2012. Details
Cavan, N., "Reconstruction of 3D Points From Uncalibrated Underwater Video", Systems Design Engineering, Waterloo, ON, University of Waterloo, 2011. Details
