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Publications are organized by topics. In addition, the following technologies have separate pages:

See also: DRDC publications, uOttawa ViSTER Portal, NRC publications. Many publications are also archived at Research Gate.

Automated Border Control

Face Recognition in Video

Adaptive Multi-Classifier Systems for FR Across Cameras
  • o De la Torre, M., Granger, E., Radtke, P. V. W., Sabourin, R. and Gorodnichy, D., ’Partially-Supervised Learning from Facial Trajectories in Adaptive Biometric Systems,’ submitted to Pattern Recognition Letters,March 2013. --
  • o Pagano, C., Granger, E., Sabourin, R. and Gorodnichy, D., ’Detector Ensembles for FR in Video Surveillance,’ Int’l Joint Conf. on Neural Networks, Brisbane, Australia, June 10-15 2012.
  • o De la Torre, M., Granger, E., Radtke, P. V. W., Sabourin, R. and Gorodnichy, D., ’Incremental Update of Biometric Models in Face-Based Video Surveillance,’ Int’l Joint Conf. on Neural Networks, Brisbane,Australia, June 10-15 2012. -
  • o De la Torre, M., Granger, E., Radtke, P. V.W., Sabourin, R. and Gorodnichy, D., ’A Comparison of Adaptive Matchers for Screening of Faces in Video Surveillance,’ IEEE Symp. on Computational Intelligence for Security and Defence Applications, Ottawa, Canada, July 11-13 2012. -
Fusion of FR from Multiple Cameras
  • o Radtke, P.V.W, Granger, E., Sabourin, R. and Gorodnichy, D., ’Skew-Sensitive Boolean Combination for Adaptive Ensembles – An Application to FR in Video Surveillance,’ submitted to Information Fusion, January 2013. --
  • o Radtke, P.V.W, Granger, E., Sabourin, R. and Gorodnichy, D., ’Adaptive Ensemble Selection for Face Re-Identification Under Class Imbalance,’ 11th Int’l Workshop on Multiple Classifier Systems, Nanjing, China, May 15-17, 2013
  • o Radtke, P.V.W, Granger, E., Sabourin, R. and Gorodnichy, D., ’Adaptive Selection of Ensembles for Imbalanced Class Distributions,’ 21th Int’l Conf. on Pattern Recognition, Tsukuba Science City, Japan, November 11-15, 2012.

Iris Biometrics

Intelligent Video Surveillance

Video Recognition

  • Dmitry O. Gorodnichy. Associative Tracking and Recognition in Video. International Workshop on Video Processing for Security (VP4S-06), Québec City, Québec, Canada, June 7-9, 2006., 2006 NRC 48494. [Abstract & Pdf]
  • Dmitry O. Gorodnichy and Arjun Yogeswaran. Detection and tracking of pianist hands and fingers . In Proc. of the Canadian conference Computer & Robot Vision (CRV'06), Quebec, Canada, June 7-9, 2006.
  • Gorodnichy, D., Yogeswaran, A., and Comeau, G. C-MIDI stands for MIDI that "sees" the notes. Video recognition of pianist hands and fingers. Toronto-Montreal Computer Vision Workshop. Ottawa, Ontario, Canada. May 29-30, 2006. NRC 48786. [Abstract & Pdf]
  • Dmitry O. Gorodnichy and Gilles Bessens. From recognition in brain to recognition in perceptual vision systems. Case study: identifying computer users with low-resolution webcams. Poster at CVR'05 Conference on Computational Vision in Neural and Machine Systems. York University, Toronto, June 15-18, 2005. NRC 48208 [Abstract & Pdf] [Slides]
  • Dmitry O. Gorodnichy. Second order change detection, and its application to blink-controlled perceptual interfaces. In Proc. IASTED Conf. on Visualization, Imaging and Image Processing (VIIP 2003), pp. 140-145, Benalmadena, Spain, Sept. 8-10, 2003. NRC 47151 [Abstract & Pdf] [Slides]

Neural Networks

  • Oleksiy K. Dekhtyarenko and Dmitry O. Gorodnichy, High Performance Associative Neural Networks: Overview and Library. Canadian Conference on Artificial Intelligence (AI'06), Quebec City, Canada, July 7-9, 2006. NRC 48492.[Abstract and Pdf] [Library]
  • D. O. Gorodnichy, W. W. Armstrong, X. Li Adaptive logic networks for facial feature detection. Lecture Notes in Computer Science, Vol 1311, Springer Verlag, 1997, pp. 332-339. Proc. of 9th Intern. Conf. on Image Analysis and Processing, ICIAP'97, Florence, Italy, Sept. 1997.
  • D.O. Gorodnichy, W.W. Armstrong, A Parametrical Alternative for Grids in Occupancy Based World Modeling, Proc. Quality Control by Arti.cial Vision Conference (QCAV'99), Trois Rivieres, Canada, May 18-21, 1999, pp 125 - 132.
  • W.W. Armstrong, B. Coghlan, D.O. Gorodnichy, Reinforcement learning for autonomous robot navigation, Proc. Int'l Joint Conf. on Neural Networks (IJCNN'99),  Washington DC, July 21-23, 1999
  • W. W. Armstrong, D. O. Gorodnichy, Breaking Hyperplanes to .fit Data with Applications to 3D World Modeling and Oil Sand Data Analysis, Proc. ICSC Symposium on Neural Computation, NC 2000, Berlin, May 23 - 26, 2000, CD-ROM, publ. by ICSC Academic Press, Int'l Comp. Sci. Conv., Canada/Switzerland ISBN 3-906454-21-5
  • Dmitry O. Gorodnichy, W. W. Armstrong, Neurocomputational Approach for Modeling Large Scale Environments from Range Data, ibid.