Selected Publications:


Book Chapters:

  1. R. Kelley, A. Tavakkoli, C. King, M. Nicolescu, M. Nicolescu, "Understanding Activities and Intentions for Human-Robot Interaction", to appear in Advances in Human-Robot Interaction, In-Tech, 2010.

  2. A. Tavakkoli, "Novelty Detection: Approaches and Applications", to appear in Pattern Recognition, In-Tech, 2009.

Journal Publications:

  1. R. Kelley, C. King, A. Tavakkoli, M. Nicolescu, M. Nicolescu, G. Bebis, "An Architecture for Understanding Intent Using Novel Hidden Markov Models", International Journal of Humanoid Robotics - Special Issue on Cognitive Humanoid Robots, Vol.5, No. 2, pages 243-264, 2010.
  2. A. Tavakkoli, M. Nicolescu, G. Bebis, M. Nicolescu, "A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds", International Journal of Artificial Intelligence Tools, Vol. 17, Issue 4, pp. 635-658, August 2009.
  3. A. Tavakkoli, M. Nicolescu, G. Bebis, M. Nicolescu, "Non-Parametric Statistical Background Modeling for Efficient Foreground Region Detection", International Journal of Machine Vision and Applications, Springer-Verlag, April 2008.

Conference Papers:

  1. A. Kolawole, A. Tavakkoli, "Robust Foreground Detection in Videos using Adaptive Color Histogram Thresholding and Shadow Removal", in the proceedings of the International Symposium Visual Computing, Las Vegas, (NV), September 2011.
  2. A. Tavakkoli, D. Loffredo, "Efficient Video Surveillance with Intent Recognition", in the proceedings of the International Symposium on Models and Modeling Methodologies in Science and Engineering, Orlando, (FL), July 2011.
  3. (Best Session Paper/Presentation)
  4. A. Ambardekar, A. Tavakkoli, M. Nicolescu, M. Nicolescu, "A Developmental Framework for Visual Learning in Robotics", in the Proceedings of the 14th International Conference on Image Processing, Computer Vision, and Pattern Recognition,, Las Vegas (NV), July 2010.
  5. R. Kelley, A. Tavakkoli, C. King, A. Ambardekar, M. Nicolescu, M. Nicolescu, "Integrating Context into Intent Recognition Systems", in the Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics, Madeira (Portugal), June 2010.
  6. G. Amayeh, A. Tavakkoli,G. Bebis, "Accurate and Efficient Computation of Gabor Features in Real-Time Applications", in the proceedings of the 5th International Symposium on Visual Computing, Las Vegas, (NV), December 2009.
  7. A. Tavakkoli, M. Nicolescu, M. Nicolescu, G. Bebis, "Efficient Background Modeling through Incremental Support Vector Data Description", in the proceedings of the 19th International Conference on Pattern Recognition, Tampa (FL), December 2008.
  8. A. Tavakkoli, Richard Kelly, Christopher King, Mircea Nicolescu, Monica Nicolescu, George Bebis, "A Visual Tracking Framework for Intent Recognition in Videos", in proceedings of 4th International Symposium on Visual Computing, Las Vegas, Nevada, USA, 10 pages, December 2008.
  9. A. Tavakkoli, M. Nicolescu, M. Nicolescu, G. Bebis, "Incremental SVDD Training: Improving Efficiency of Background Modeling in Videos", in the proceedings of the 10th IASTED International Conference on Signal and Image Processing, Kona (HI), August 2008.
  10. R. Kelley, A. Tavakkoli, C. King, M. Nicolescu, M. Nicolescu, G. Bebis, "Understanding Human Intent via Hidden Markov Models in Autonomous Mobile Robots", in the proceedings of the 3rd ACME/IEEE International Conference on Human-Robot Interaction, Amsterdam (The Netherlands), March 2008.
  11. A. Tavakkoli, A. Ambardekar, M. Nicolescu, S. Louis, "A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data", in the proceedings of the 3rd International Symposium on Visual Computing, pages 318-327, Lake Tahoe (NV/CA), November 2007.
  12. A. Tavakkoli, R. Kelley, C. King, M. Nicolescu, M. Nicolescu, G. Bebis, "A Vision-Based Approach for Intent Recognition", in the proceedings of the 3rd International Symposium on Visual Computing, pages 173-182, Lake Tahoe (NV/CA), November 2007.
  13. A. Tavakkoli, M. Nicolescu, G. Bebis, "A Novelty Detection Approach for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds", in the proceedings of the 2nd International Symposium on Visual Computing, pages 40-49, Lake Tahoe (NV/CA), November 2006.
  14. A. Tavakkoli, M. Nicolescu, G. Bebis, "Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds", in the proceedings of the 18th International Conference on Pattern Recognition, pages 315-318, Hong Kong, August 2006.
  15. A. Tavakkoli, M. Nicolescu, G. Bebis, "An Adaptive Recursive Learning Technique for Robust Foreground Object Detection", International Workshop on Statistical Methods in Muli-image and Video Processing (in conjunction with the European Confernece on computer Vision), GRaz (Austria), May 2006.
  16. A. Tavakkoli, M. Nicolescu, G. Bebis, "Automatic Statistical Object Detection for Visual Surveillance", in the proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, pages 144-148, Denver (CO), March 2006.
  17. A. Tavakkoli, M. Nicolescu, G. Bebis, "Automatic Robust Background Modeling using Multivariate Non-Parametric Kernel Density Estimation for Visual Surveillance", in the proceedings of the 1st International Symposium on Visual Computing, pages 363-370 (LNSC vol. 3804), Lake Tahoe (NV/CA), December 2005.

UHV Robotics News


10/10/2016

The application for website the Robotics After School Program is open now. Please check out the After School Program from the menu items above to apply.


Recurring

The Alcoa Foundation has approved the UHV application for the Robotics/Engineering Program for High School students.