Video Analysis

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.

Related people

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

 Action Recognition in Video

Related publications

Journal articles

Shabani, A. H., J. S. Zelek, and D. A. Clausi, "Multiple scale-specific representations for improved human action recognitionpdf", 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 surveillancepdf", 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 estimationpdf",EURASIP Journal on Advances in Signal Processing, New York, NY, United States, Hindawi Publishing Corp., pp. 109, 2006. Details

Conference papers

Chung, A.X. WangR. AmelardC. Scharfenberger, J. Leong, A. Wong, and D. A. Clausi, "High-resolution motion-compensated photoplethysmographic imaging for remote heart rate monitoringpdf", 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 recognitionpdf", 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 trackingpdf", 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 waveletspdf", 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 visionpdf", 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 sequencespdf",IEEE International Conference on Image Processing, vol. 3, Spain, 2003. Details

 Theses

Kumar, APanic Detection in Human Crowds using Sparse Codingpdf, , Waterloo, University of Waterloo, August, 2012. Details

Cavan, N., "Reconstruction of 3D Points From Uncalibrated Underwater Videopdf", Systems Design Engineering, Waterloo, ON, University of Waterloo, 2011. Details