Archive of Publications

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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.

See also: Slides, Posters and Video of Lectures and Talks

Automated Border Control and Behaviour Screening

  • Aaron Elkins, Dmitry Gorodnichy, Judee Burgoon, Jay Nunamaker and Bradley Walls Automated Multimodal Credibility Assessment: Fusing Vocal, Facial, and Eye Behavior for Border Control, The 2nd International Conference on Deceptive Behavior (DECEPTICON-2017). August 21-23, 2017. Stanford University, Palo Alto, USA.
  • Dmitry Gorodnichy, New age glossary of biometrics terms for automated border control and video surveillance applications, CBSA Border Technology, Division Report 2016-05, January 2016, Submitted to DRDC June 2017
  • Dmitry O. Gorodnichy, From trusted traveller kiosks to e-border systems, Global Conference on the Future of Border Checks (FoBC), Frontex, Warsaw, June 2015. Online:
  • Dmitry O. Gorodnichy, ART in ABC: Analysis of Risks and Trends in Automated Border Control, Final Report. 166 pages. Technical Report DRDC-RDDC-2016-C324. Online:
  • Dmitry O. Gorodnichy, ART in ABC: Analysis of Risks and Trends in Automated Border Control. Executive Summary, 31 pages. Technical Report DRDC-RDDC-2016-C143D. Online:
  • Shawn C. Eastwood, V. P. Shmerko, S. N. Yanushkevich, M. Drahansky, and D. O. Gorodnichy, Biometric-Enabled Authentication Machines: A Survey of Open-Set Real-World Applications, IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2015.
  • D.O. Gorodnichy, S.N. Yanushkevich, V.P. and Shmerko, Automated Border Control: Problem Formalization , IEEE Symp. Comput. Intelligence in Biometrics and Identity Management (SSCI CIBIM), December 2014. Also published as Technical Report DRDC-RDDC-2015-C057. Online:
  • Dmitry Gorodnichy, V. Shmerko, S. Yanushkevich, "Automated Border Control systems as part of e-border crossing process". Proc. of NIST International Biometrics Performance Conference, IBPC 2014, April 1-4, 2014, Gaithersburg, MD


Face Recognition in Video

Adaptive Multi-Classifier Systems for FR Across Cameras

  • 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.
  • Image and Vision Computing Journal. Special Issue on Face Processing in Video Sequences,Volume 24, Issue 5 (May 2006). Editor: Dmitry Gorodnichy.
    • Read Editorial: local copy, from NRC site. - "It is one of the best editorials for a Special Issue that we have had... It will be a very good introduction to what I believe will be an excellent SI". - Keith D. Baker, IVC Editor-in-Chief.
    • Outline: 1. Video-processing phenomenon*. 2. Face processing we do*. 3. Precursory workshop. 4. State of the art: perusing the papers. 5. Implications. 6. Future trends*
    • Journal Editorial: Dmitry O. Gorodnichy, Seeing faces in video by computers. Image and Video Computing, Vol. 24, No. 5 (Special Issue on Face Processing in Video Sequences, Editor: D.O. Gorodnichy), pp. 551-556, May 2006. NRC 48295 [Abstract & Pdf].

  • Dmitry O. Gorodnichy, Video-based framework for face recognition in video. Second Workshop on Face Processing in Video (FPiV'05) in Proceedings of Second Canadian Conference on Computer and Robot Vision (CRV'05), pp. 330-338, Victoria, BC, Canada, 9-11 May, 2005. ISBN 0-7695-2319-6. Online: [Slides]
  • D.O. Gorodnichy, Projection learning vs correlation learning: from Pavlov dogs to face recognition. AI'05 Workshop on Correlation learning, Victoria, BC, Canada, May 8-12, 2005.NRC 48209 [Abstract & Pdf] [Slides]
  • Dmitry O. Gorodnichy, Associative neural networks as means for low-resolution video-based recognition. International Joint Conference on Neural Networks (IJCNN'05), Montreal, Quebec, Canada, July 31-August 4, 2005. NRC 48217. [Abstract & Pdf]
  • Dmitry O. Gorodnichy, Recognizing faces in video requires approaches different from those developed for face recognition in photographs, NATO IST - 044 Workshop on "Enhancing Information Systems Security through Biometrics", Ottawa, Canada, October 18-20, 2004. NRC 47149. [Abstract & Pdf] - [Slides]
  • Dmitry O. Gorodnichy. Facial Recognition in Video. In Proc.of IAPR Int. Conf. on Audio- and Video-Based Biometric Person Authentication (AVBPA'03), LNCS 2688, pp. 505-514, Guildford, UK, June 9-11, 2003. NRC 47150 [Abstract & Pdf] - [Poster: pdf, photo]
  • Invited Contribution: Dmitry O. Gorodnichy, “Face databases and evaluation” chapter inEncyclopedia of Biometrics (Editor: Stan Li), Planned for publication in 2009, Elsevier Publisher

Video Analytics and Recognition: Security Applications

  • Dmitry O. Gorodnichy, Mohammad A. Ali, Elan Dubrofsky, Kris Woodbeck. Zoom on Evidence with the ACE Surveillance . International Workshop on Video Processing and Recognition (VideoRec’07). May 28-30, 2007. Montreal , QC , Canada . NRC 49349 - [Pdf and Poster]
  • Dmitry O. Gorodnichy, ACE Surveillance: The Next Generation Surveillance for Long-Term Monitoring and Activity Summarization. First International Workshop on Video Processing for Security (VP4S-06), June 7-9, Quebec City, Canada. [Pdf] [Poster]
  • Dmitry O. Gorodnichy and Oleg P. Gorodnichy, Using associative memory principles to enhance perceptual ability of vision systems,The First IEEE Workshop on Face Processing in Video, June 28, 2004, Washington, D.C., USA
  • Dmitry O. Gorodnichy, Towards automatic retrieval of blink-based lexicon for persons suffered from brain-stem injury using video cameras,ibid

Video Analytics and Recognition: Other Applications

  • 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.