Work History

Work History
Apr 2012 - Jun 2015

Graduate Student/ Guest lecturer

University of Canberra, Canberra, Australia

Includes current Ph.D. research and research/consulting projects.

Being Guest Computer Vision lecturer

2013 - 2015

Research Assistant

University of Canberra, Canberra, Australia

Teaching assistant. Advising students on academic and related matters. Duties included shared administrative responsibilities with faculty instructor, fielding of all student inquiries, and oversight of graduate student teaching assistants and graders.

Feb 2013 - Aug 2014

Sessional academic-Introduction to Information Technology

University of Canberra, Canberra, Australia

Shared responsibility for lectures/ exams/ homework assignments/ and grades. Preparation for tutorial / computer laboratory class.

Aug 2012 - Dec 2012

Sessional academic- Introduction to DSP

University of Canberra, Canberra, Australia

Delivering tutorials / seminars / computer laboratory classes, stimulating and guiding class discussion/attending faculty meeting / research lab meeting/Conducting research in computer vision.

Education

Education
Apr 2012 - Jun 2015

PHD Doctorate

University of Canberra

Ph.D. Candidate, Computer Science and Engineering

Thesis Topic: "Computer Vision in Sports Performance Analysis"

2008 - 2011

M.Sc

Iran University of Science and Technology

M.Sc.  Electrical Engineering-Electronics

Thesis Topic: "Improved PCA feature extraction for Face Recognition"

GPA: 17.12

Skills

Skills

Computer Skills

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

Computer Vision

Visual Tracking

Object detection

Multiple  Tracking

Multi- View Multi- Object Ttracking

Event Detection/ Action Recognition/ Action Localisation

Group Activity Recognition

Video Analysis

Algorithms

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

Publications

B. 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.

B. 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.


B. 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.


B. 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.


B. 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.


Co-Author in Kristan, Matej, et al. "The visual object tracking vot2013 challenge results." Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on. IEEE, 2013.


B. Bozorgtabar and R. Goecke.Robust Visual Vocabulary Tracking Using Hierarchical Model Fusion. Proceedings of International Conference on Digital Computing, Techniques and Applications(DICTA 2013, Hobart,Australia.


B. Bozorgtabar and R. Goecke.Adaptive Multiple Component Metric Learning for Robust Visual
Tracking. Proceedings of International Conference on Neural Information Processing (ICONIP2013), Daegu, Korea.


B. 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.


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


B. 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.

B. 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)


B. Bozorgtabar and R. Goecke. Robust Superposition Low Rank Sparse Learning for Visual
Tracking. Elsevier Journal of Computer Vision and Image Understanding (CVIU). (Submitted)

Research Interest

Computer Vision (Visual Tracking, Multiple Target Tracking, Action Recognition, Object Detection, Event Detection)
Pattern Recognition (Sparse Learning, Convex Optimisation, Regression methods, Discrete Graphical Models)
Signal Processing