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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 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

Video Analytics and Recognition: General and 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.

  • See also others publications on Neural Networks at these two sites, dedicated to my Ph.D. research: