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Dr Tahir Nawaz

Post-Doctoral Research Assistant

 

Computational Vision Group

Department of Computer Science

University of Reading

Whiteknights, Reading - RG6 6AY

United Kingdom

Email: t.h.nawaz@reading.ac.uk

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Tahir Nawaz

 

RECENT NEWS

Release of TST-Priv dataset for privacy protection

Date: 16th August 2017

A new dataset, called TST-Priv, is now released and can be downloaded from here. TST-Priv is introduced in our publication here and contains synchronized visual and thermal sequences to facilitate the community in the evaluation of privacy protection techniques in particular and other tasks (e.g. object detection, tracking etc.) in general.

 

 

Paper accepted in SPIE Journal of Electronic Imaging

Date: 9th August 2017

My paper titled, "Effective evaluation of privacy protection techniques in visible and thermal imagery" (T. Nawaz, A. Berg, J. Ferryman, J. Ahlberg, M. Felsberg), has been accepted for publication in SPIE Journal of Electronic Imaging.

 

 

Journal paper accepted in SIViP

Date: 3rd April 2017

My paper titled, "A method for performance diagnosis and evaluation of video trackers" (T. Nawaz, A. Ellis, J. Ferryman), has been accepted for publication in Signal, Image and Video Processing (SIViP).

 

 

ViTBAT, a new annotation tool, is available online now!

Date: 20th September 2016

Video Tracking and Behavior Annotation Tool (ViTBAT) is a new annotation tool that has been recently proposed in our publication here. Unlike the existing tools that generally allow an explicit annotation for individual targets only, ViTBAT enables an explicit annotation both for individual targets and groups of targets for the tracking and behavior recognition tasks together with effective visualization features. The software for ViTBAT can be downloaded here. Below is also given a video tutorial explaining its usage.

 

 

 

Paper accepted in IEEE AVSS 2016

Date: 14th July 2016

My paper titled, "ViTBAT: Video Tracking and Behavior Annotation Tool" (T. Biresaw, T. Nawaz, J. Ferryman, A. Dell), has been accepted for publication in IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS) to be held in Colorado Springs, Colorado, USA in August 2016.

 

 

Paper accepted in ACM ICDSC 2016

Date: 18th June 2016

My paper titled, "User-centric, embedded vision-based human monitoring: A concept and a healthcare use case" (T. Nawaz, B. Rinner, J. Ferryman), has been accepted for publication in ACM International Conference on Distributed Smart Cameras (ICDSC) to be held in Paris, France in September 2016.

 

 

Invited talk at Linköping University

Date: 7th September 2015

On 3rd September 2015, I gave a talk at the Computer Vision Laboratory (CVL) in the Department of Electrical Engineering at Linköping University, Sweden.

 

 

Spotlight 'teaser' presentation at IEEE AVSS 2015

Date: 7th September 2015

On 28th August 2015, I delivered the following short spotlight 'teaser' presentation for my paper titled, "An annotation-free method for evaluating privacy protection techniques in videos" (T. Nawaz, J. Ferryman), at the IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS) in Karlsruhe, Germany.

 

 

 

Invited talk at ICE Summer School on Intelligent Sensing

Date: 2nd August 2015

On 2nd September 2015, I shall give a talk at the 2015 Summer School on Intelligent Sensing for Interactive and Cognitive Environments (ICE) in Queen Mary University of London.

 

 

Paper accepted in IEEE Trans. on Biomedical Engineering

Date: 19th June 2015

My paper titled, "Discrete wavelet transform based whole-spectral and sub-spectral analysis for improved brain tumour clustering using single voxel MR spectroscopy" (G. Yang, T. Nawaz, T. R. Barrick, F. A. Howe, G. Slabaugh), has been accepted for publication in IEEE Transactions on Biomedical Engineering (TBME).

 

 

Papers accepted in IEEE AVSS 2015

Date: 3rd June 2015

My papers titled, "An annotation-free method for evaluating privacy protection techniques in videos" (T. Nawaz, J. Ferryman) and "Temporally stable feature clusters for maritime object tracking in visible and thermal imagery" (C. Osborne, T. Cane, T. Nawaz, J. Ferryman), have been accepted for publication in IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS) to be held in Karlsruhe, Germany in August 2015.

 

 

IEEE PETS Workshop 2015

Date: 2nd May 2015

I am the co-organizer of IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS) 2015. PETS workshops are very well-known and have been successfully taking place for more than a decade. This year's workshop invites submissions for PETS 2015 Challenge using the two provided datasets or general submissions using other existing datasets. For a detailed information, please visit the workshop's website.

 

 

Video of public PhD thesis presentation

Date: 12th December 2014

The video of the final public presentation of my PhD thesis is now available. The presentation provided an overview of the main contributions of my thesis titled, "Ground-truth-based trajectory evaluation in videos". Prof Andrea Cavallaro from the Queen Mary University of London, UK and Prof Bernhard Rinner from the Alpen-Adria University of Klagenfurt, Austria were my first supervisor and second supervisor, respectively.

 

 

 

"Top 10% Award" for paper in IEEE ICIP 2014

Date: 14th November 2014

My paper titled, "Trajectory clustering for motion pattern extraction in aerial videos" (T. Nawaz, A. Cavallaro, B. Rinner), has been recognized as one of the "Top 10%" papers in IEEE International Conference on Image Processing (ICIP) 2014. Additionally, the two newly-introduced aerial datasets (for Parking Lot and Traffic Junction scenes) used in this paper are made available online.

 

 

Joining at University of Reading

Date: 20th October 2014

I have joined the Computational Vision Group at the University of Reading, UK as a Post-doctoral Research Assistant. My work currently focuses on automated surveillance with visible and thermal imagery under the European Privacy Preserving Perimeter Protection Project (P5).

 

 

 

 

 

 

 

 

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