My Publications:

Journal Publications:

  • R. Kelley, C. King, A. Tavakkoli, M. Nicolescu, M. Nicolescu, G. Bebis, "An Architecture for Understanding Intent using Novel Hidden Markov Models", Special Issue on Cognitive Humanoid Robots (International Journal of Humanoid Robotic, Accpeted: December 29th, 2007.
  • 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, Submitted: September 2006.
  • A. Tavakkoli, M. Nicolescu, G. Bebis, M. Nicolescu, "A Support Vector Data Description Appoach for Background Modeling in Videos with Quasi-Stationary Backgrounds", International Journal of Artificial Intelligence Tools, Accepted: December 10th, 2007.

Conference Papers:

  • 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 Netherland), March 2008.
  • 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, Lake Tahoe (NV/CA), November 2007.
  • 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, Lake Tahoe (NV/CA), November 2007.
  • G. Amayeh, S. Kasaei, G. Bebis, A. Tavakkoli, K. Veropoulos, "Improvements of Zernike Moment Descriptors on Affine Transformaed Shapes", International Symposium on Signal Processing and its Applications (ISSPA'07), Sharjeh (UAE), February 2007.
  • 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, pp. 40-49, Lake Tahoe (NV/CA), November 2006.
  • 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, pp. 315-318, Hong Kong, August 2006.
  • 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.
  • 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, pp. 144-148, Denver (CO), March 2006.
  • 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, pp. 144-148 (LNSC vol. 3804), Lake Tahoe (NV/CA), December 2005.
  • A. Tavakkoli, G. Amayeh, S. Kasaei, "A Fast VOP Extraction Technique Based on Wavelet Transform and Watershed Segmentation", in the proceedings of the 12th Iranian Conference on Electrical Engineering, Mashhad (IRAN), May 2004.
  • A. Tavakkoli, S. Kasaei, G. Amayeh, "A Fast and Efficient Video Object Plane Extraction Method Based on Watershed Segmentation", International Workshop on Computer Vision, Tehran (IRAN), April 2004.
  • G. Amayeh, S. Kasaei, A. Tavakkoli, "A Modified Algorithm to Obtain Translation, Rotation and Scale Invariant Zernike Moment Shape Descriptors", International Workshop on Computer Vision, Tehran (IRAN), April 2004.
  • S. Kasaei, G. Amayeh, A. Tavakkoli, "Fingerprint Authentication", in the proceedings of Sharif University of Technology, Tehran (IRAN), 2003.

Invited Talks:

  • A. Tavakkoli, "Background Modeling Techniques for Visual Surveillance Applications", CS-791E (Computer Vision), University of Nevada, Reno (USA).
  • a. Tavakkoli, M. Nicolescu, G. Bebis, "Recursive Background Learning for Visual Surveillance Applications", Cognitive Information Processing (EPSCoR Nevada State Conference), Reno (NV), May 2006.