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Education

Apr 2012Jun 2015

PhD candidate in computer science (software engineering)

University of Canberra, ACT, Australia

Thesis Topic: "Computer Vision in Sports Performance Analysis"

20082011

M.Sc in Electronis Engineering

Iran University of Science and Technology (IUST)

Thesis Topic: "Improved PCA Feature Extraction for Face Recognition"

GPA : 17.12 out of 20

Research Interest

  • Multimodal Human Computer Interaction
  • Computer Vision (􀀚􀀏􀀄􀀛􀀅􀀓􀀑􀀇􀀍􀀅􀀑􀀅􀀓􀀑􀀜􀀏􀀃􀀝􀀇􀀞􀀜􀀕􀀔􀀂􀀟􀀇􀀑􀀆􀀂􀀓visual tracking, multiple target tracking, action recognition)  
  • Affective Computing
  • Pattern Recognition (convex optimisation problem, sparse learning, discrete graphical models)
  • Signal Processing (analysis of spatio-temporal signals)

Skills

Algorithms 

Experience programming with graphical models, sparse learning methods, Convex Optimization, regression algorithms, feature Extraction methods

Programming skills 

Programming Languages: Matlab, C++, OpenCV, Java , HTML
Applications: Unix mapping software, LATEX, common Windows database, spreadsheet and presentation software

Work experience

Apr 2012Jun 2015

Graduate student/ researcher / guest lecturer

University of Canberra
  • PhD research and consulting projects
  • Guest lecturer in computer vision
Feb 2013May 2015

Sessional academic position-Introduction to Information Technology (IIT)

University of Canberra
  • Shared responsibility for lectures/ exams/ homework assignments/  grades
  • Preparation for tutorial / computer laboratory class
20132015

Research Assistant

University of Canberra
  • Teaching assistant and advising students on academic and related matters
  • Duties included shared administrative responsibilities with faculty instructor, fielding of all student inquiries
  • Present research finding in computer vision  and affective computing 
  •  Oversight of graduate student teaching assistants and graders
Aug 2012Dec 2012

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

University of Canberra
  • Delivering tutorials / seminars / computer laboratory classes, stimulating and guiding class
  • Discussion/attending faculty meeting / research lab meeting/conducting research

Memberships

  • Member of Australian Computer Society (ACS)                                                                                                        (2013-present)
  • IEEE student membership                                                                                                                                                (2012-present)
  • Vision and Sensing Group (UC)                                                                                                                                       (2012-present)
  • Human-Centred Computing Laboratory (HCC)                                                                                                        (2012-present)

Honors and Awards

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

Recent 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. Tendentious Aware Group Detection in Sports Video . 2015 KDD Workshop on Large-Scale Sports Analytics, Hilton, Sydney. 

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 ICONIP 2012, Lecture Notes in Computer Science (LNCS) 7667, Part V, pages 662671, Doha, Qatar, 12-15 Nov 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.

 2010

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

 

Journals

  •  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. (Minor revision)
  •  Bozorgtabar and R. Goecke. Robust Superposition Low Rank Sparse Learning for Visual Tracking. Elsevier Journal of Computer Vision and Image Understanding (CVIU). (Submitted)
  • Bozorgtabar and R. Goecke. Crowd Group Detection in Sports Video. IEEE Transactions on Circuits and Systems for Video Technology. Special Issue on Group and Crowd Behavior Analysis for Intelligent Multi-camera Video Surveillance .