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Education History

Research Interests

My research interests can largely be summarized as follows:

  • Pattern Recognition (convex optimization, discrete graphical models)
  • Machine Learning (sparse learning methods, regression methods) 
  • Signal Processing
  • Affective Computing (video based)
  • Human Computer Interaction 
  • Computer Vision (object detection, visual tracking, multi-target tracking, action recognition and detection, event detection)
  • Image Processing 

Current Work

  • Sports performance analysis
  • Markerless body tracking, surveillance, sports
  • Group behavior analysis
  • Scene understanding
  • Activity recognition 

Skills

Programming skills 
  • Programming languages: Matlab, C/C++, Java, OpenCV
  • Operating systems: Linux, Mac, Windows 
  • Experience with parallel computing, LaTex and presentation software  
Algorithms 
  • Convex optimization methods
  • Sparse learning methods
  • Feature extraction techniques
  •  Classification algorithms 
  • Supervised/semi-supervised learning based algorithms 
Scientific tools

IBM ILOG CPLEX optimization studio, AutoCAD 

Spoken languages 

Fluent in English and Persian 

Work experience

Apr 2012Jul 2015

Graduate student/researcher/guest lecturer 

University of Canberra, Faculty of ESTeM
  • PhD research project and consulting projects 
  • Guest lecturer in Computer Vision and Image Analysis (PG)
Feb 2013May 2015

Sessional academic position - Introduction to Information Technology (IIT) (UG & G)

University of Canberra, Faculty of ESTeM
  • Shared responsibilities for exams/homework assignments and grades
  • Preparation for tutorials and computer laboratory class 
20132015

Research Assistant in Software Engineering 

University of Canberra, Faculty of ESTeM
  • Working on research projects including literature reviews, consultations, data collection and analysis 
  • Presenting research finding in computer vision and pattern recognition 
  • Duties included shared administrative responsibilities with faculty instructors and oversight of graduate students and teaching assistants 
  • Advising students on academic and related matters
Aug 2012Dec 2012

Sessional academic position- Introduction to Digital Signal Processing (DSP)

University of Canberra, Faculty of ESTeM
  • Delivering tutorials/seminars/computer laboratory classes/ simulating and guiding class discussion
  • Attending faculty meeting / research lab meeting  

Honors and Awards

  • Australian International Postgraduate Research Scholarship (IPRS)                                                                                        2012
  • Imagine Cup, Australian Finals, Microsoft, Sydney, Australia                                                                                                        2014

Publications

Conferences

2015

  • Bozorgtabar and R. Goecke. Multi-level Action Detection via Learning Latent Structure. Proceedings of the International Conference on Image Processing (ICIP 2015), Quebec, Canada, 27-30 Sep 2015.
  • Bozorgtabar and R. Goecke. Dominant Interaction Group Detection in Team Sports 2015 KDD Workshop on Large-Scale Sports Analytics, Sydney, Australia. 

2014

  • Bozorgtabar and R. Goecke. Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking. Proceedings of the Asian Conference on Computer Vision (ACCV 2014), Singapore, 1-5 Nov 2014.
  • Bozorgtabar and R. Goecke. Joint Sparsity-Based Robust Visual Tracking. Proceedings of the International Conference on Image Processing (ICIP 2014), Paris, France, 27-30 Oct 2014.
  • Bozorgtabar and R. Goecke. Robust Visual Tracking via Rank-Constrained Sparse Learning. Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2014), Wollongong, Australia, 25-27 November 2014.
  • Bozorgtabar and R. Goecke.Discriminative Multi-Task Sparse Learning for Robust Visual Tracking Using Conditional Random Field. Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2014), Wollongong, Australia, 25-27, November 2014.

 

2013

  • Co-Author in Kristan, Matej, et al. The visual object tracking vot2013 challenge results. 2013 IEEE International Conference on Computer Vision Workshops (ICCVW), 2013.
  • Bozorgtabar and R. Goecke.Robust Visual Vocabulary Tracking Using Hierarchical Model Fusion. Proceedings of International Conference on Digital Computing, Techniques and Applications (DICTA2013, Hobart, Australia.
  • Bozorgtabar and R. Goecke.Adaptive Multiple Component Metric Learning for Robust Visual Tracking. Proceedings of International Conference on Neural Information Processing (ICONIP2013), Daegu, Korea.

 

2012

  • Bozorgtabar and R. Goecke.An Improved NN Training Scheme Using a Two Stage LDA Features for Face Recognition. Proceedings of the 19th International Conference on Neural Information Processing ICONIP2012, Lecture Notes in Computer Science (LNCS) 7667, Part V, pages 662671, Doha, Qatar, 12-15 Nov 2012.

2011

  • Bozorgtabar, Farzad Noorian, and Gholam Ali Rezai Rad. A Genetic Programming approach to face recognition.  IEEE GCC Conference and Exhibition (GCC), 2011.

 

2010

  • Bozorgtabar, F. Noorian, and G. A. Rezai Rad. Comparison of different PCA based Face Recognition algorithms using Genetic Programming. IEEE Telecommunications (IST), 2010 5th International Symposium on Telecommunications, 2010.

 

Journals

 2015

  • Bozorgtabar and R. Goecke. Efficient Multi-Target Tracking via Discovering Dense Subgraphs Elsevier Journal of Computer Vision and Image Understanding (CVIU). Special Issue on Individual and Group Activities in Video Event Analysis, 2015. (Minor revision)
  • Bozorgtabar and R. Goecke. Robust Superposition Low Rank Sparse Learning for Visual Tracking. Elsevier Journal of Computer Vision and Image Understanding (CVIU), 2015. (under review)

 2012

  • Azami, K. Mohammadi, and B. Bozorgtabar. An improved signal segmentation using moving average and Savitzky-Golay filter. Journal of Signal and Information Processing, 2012.

 2011

  • Bozorgtabar and Gholam Ali Rezai Rad. A genetic programming-PCA hybrid face recognition algorithm. Journal of Signal and Information Processing , 2011 .
  • Bozorgtabar, Behzad, and H.Azami. An Efficient Illumination Normalization Method with Fuzzy LDA Feature Extractor for Face Recognition. International Journal of Modern Engineering Research (IJMER), Vol.2, Issue.1, pp-060-065.