Publications

 

 

 

Copyright: This material is made available for the timely dissemination of the work subject to the copyrights of authors and other copyright holders, and is not intended for redistribution without the consent of copyright holder(s).

 

 

2024

Effective Image Processing-Based Technique for Frost Detection and Quantification in Domestic Refrigerators

H. Rahman, H. Akbar, A.N. Malik, T. Nawaz, I. Lazoglu

International Journal of Refrigeration (to appear)

[pdf]

 

AIoT-based Generic Framework for Fault Diagnostics and Remote Monitoring in Photovoltaic Systems

E. Lodhi, F. Wang, G. Xiong, X. Liu, M.A. Khan, Z. Lodhi, T. Nawaz, A. Dilawar, S. Tarkoma

IET Renewable Power Generation (to appear)

[pdf]

 

Skeletal Keypoint-Based Transformer Model for Human Action Recognition in Aerial Videos

S. Uddin, T. Nawaz, J. Ferryman, N. Rashid, M. Asaduzzaman, R. Nawaz

IEEE Access, Vol. 12, pp. 11095–11103, 2024

[pdf]

 

2023

Body-pose-guided action recognition with convolutional Long Short-Term Memory (LSTM) in aerial videos

S.M. Saeed, H. Akbar, T. Nawaz, H. Elahi, U.S. Khan

Applied Sciences, Vol. 13, Issue 16, 9384, 2023

[pdf]

 

A W-shaped convolutional network for robust crop and weed classification in agriculture

S.I. Moazzam, T. Nawaz, W.S. Qureshi, U.S. Khan, M.I. Tiwana

Precision Agriculture, Vol. 24, Issue 5, pp. 2002-2018, 2023

[pdf]

 

Deep learning based multiresponse optimization methodology for dual-axis MEMS accelerometer

F.A. Mattoo, T. Nawaz, M.M. Saleem, U.S. Khan, A. Hamza

Micromachines, Vol. 14, Issue 4, 817, 2023

[pdf]

 

IoT-based non-intrusive automated driver drowsiness monitoring framework for logistics and public transport applications to enhance road safety

M.A. Khan, T. Nawaz, U.S. Khan, A. Hamza, N. Rashid

IEEE Access, Vol. 11, pp. 14385–14397, 2023

[pdf]

 

Towards automated weed detection through two-stage semantic segmentation of tobacco and weed pixels in aerial imagery

S.I. Moazzam, U.S. Khan, W.S. Qureshi, T. Nawaz, F. Kunwar

Smart Agricultural Technology, Vol. 4, 100142, 2023

[pdf]

 

Deep learning-based feature fusion for action recognition using skeleton information

Fahad A. Mattoo, U.S. Khan, T. Nawaz, N. Rashid

Proceedings of the IEEE International Conference on Robotics and Automation in Industry (ICRAI), Peshawar, 3-5 March, 2023

[pdf]

 

 

2022

Patch-wise weed coarse segmentation mask from aerial imagery of sesame crop

S.I. Moazzam, U.S. Khan, W.S. Qureshi, M.I. Tiwana, N. Rashid, A. Hamza, F. Kunwar, T. Nawaz

Computers and Electronics in Agriculture, Vol. 203, 107458, 2022

[pdf]

 

Crop and weeds classification in aerial imagery of sesame crop fields using a patch-based deep learning model-ensembling method

S.I. Moazzam, U.S. Khan, T. Nawaz, W.S. Qureshi

Proceedings of the IEEE International Conference on Digital Futures and Transformative Technologies (ICoDT2), Rawalpindi, 24-26 May, 2022

[pdf]

 

Using Deep Siamese Networks for trajectory analysis to extract motion patterns in videos

J. Boyle, T. Nawaz, J. Ferryman

Electronics Letters, Vol. 58, Issue 9, pp. 356–359, 2022

[pdf]

 

 

2019

Performance analysis and formative assessment of visual trackers using PETS critical infrastructure surveillance datasets

L. Li, T. Nawaz, J. Ferryman

Journal of Electronic Imaging, Vol. 28, Issue 4, 043004, 2019

[pdf]

 

 

2017

A method for performance diagnosis and evaluation of video trackers

T. Nawaz, A. Ellis, J. Ferryman

Signal, Image and Video Processing, Vol. 11, Issue 7, pp. 1287–1295, 2017

[pdf]

 

Effective evaluation of privacy protection techniques in visible and thermal imagery

T. Nawaz, A. Berg, J. Ferryman, J. Ahlberg, M. Felsberg

Journal of Electronic Imaging, Vol. 26, Issue 5, 051408, 2017

[pdf] [dataset]

 

Deep trajectory representation-based clustering for motion pattern extraction in videos

J. Boyle, T. Nawaz, J. Ferryman

Proceedings of the IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS), Lecce, 29 August - 1 September, 2017

[pdf]

 

PETS 2017: Dataset and Challenge

L. Patino, T. Nawaz, T. Cane, J. Ferryman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Honolulu, Hawaii, 21-26 July, 2017

[pdf]

 

 

2016

User-centric, embedded vision-based human monitoring: A concept and a healthcare use case

T. Nawaz, B. Rinner, J. Ferryman

Proceedings of the ACM International Conference on Distributed Smart Cameras (ICDSC), Paris, 12-15 September, 2016

[pdf]

(Oral)

 

ViTBAT: Video Tracking and Behavior Annotation Tool

T. Biresaw, T. Nawaz, J. Ferryman, A. Dell

Proceedings of the IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS), Colorado Springs, Colorado, 23-26 August, 2016

[pdf] [software] [video]

 

 

2015

Discrete wavelet transform-based whole-spectral and subspectral analysis for improved brain tumor clustering using single voxel MR spectroscopy

G. Yang, T. Nawaz, T. R. Barrick, F. A. Howe, G. Slabaugh

IEEE Transactions on Biomedical Engineering, Vol. 62, Issue 12, pp. 2860-2866, 2015

[pdf]

 

An annotation-free method for evaluating privacy protection techniques in videos

T. Nawaz, J. Ferryman

Proceedings of the IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS), Karlsruhe, 25-28 August, 2015

[pdf] [poster]

 

Temporally stable feature clusters for maritime object tracking in visible and thermal imagery

C. Osborne, T. Cane, T. Nawaz, J. Ferryman

Proceedings of the IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS), Karlsruhe, 25-28 August, 2015

[pdf]

 

PETS 2015: Datasets and Challenge

L. Li, T. Nawaz, J. Ferryman

Proceedings of the IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS), Karlsruhe, 25-28 August, 2015

[pdf]

 

Tracking performance evaluation on PETS 2015 Challenge datasets

T. Nawaz, J. Boyle, L. Li, J. Ferryman

Proceedings of the IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS), Karlsruhe, 25-28 August, 2015

[pdf]

 

 

2014

Trajectory clustering for motion pattern extraction in aerial videos

T. Nawaz, A. Cavallaro, B. Rinner

Proceedings of the IEEE International Conference on Image Processing (ICIP), Paris, 27-30 October, 2014

[pdf] [datasets] [poster]

(Top 10% Award)

 

Assessing tracking assessment measures

T. Nawaz, F. Poiesi, A. Cavallaro

Proceedings of the IEEE International Conference on Image Processing (ICIP), Paris, 27-30 October, 2014

[pdf] [webpage] [poster]

 

Ground-truth-based trajectory evaluation in videos

T.H. Nawaz

PhD Thesis, Queen Mary University of London, United Kingdom, May 2014

First supervisor: Prof Andrea Cavallaro. Second supervisor: Prof Bernhard Rinner.

Examination committee: [Private viva] Prof Tim Ellis, Dr Gabriel Brostow, Dr Yue Gao. [Public presentation] Dr Ioannis Patras, Dr Tao Xiang, Dr Yue Gao.

[pdf]

 

Measures of effective video tracking

T. Nawaz, F. Poiesi, A. Cavallaro

IEEE Transactions on Image Processing, Vol. 23, Issue 1, pp. 376-388, 2014

[pdf] [code] [video]

 

 

2013

A protocol for evaluating video trackers under real-world conditions

T. Nawaz, A. Cavallaro

IEEE Transactions on Image Processing, Vol. 22, Issue 4, pp. 1354-1361, 2013

[pdf] [code] [video]

 

 

2012

A bottom-up approach for the analysis of haustral fold ridges in CTC-CAD

T. Nawaz, G. Slabaugh

Annals of the British Machine Vision Association (BMVA), Vol. 2012, No. 8, pp. 1-15, 2012

[pdf]

 

 

2011

PFT: A protocol for evaluating video trackers

T. Nawaz, A. Cavallaro

Proceedings of the IEEE International Conference on Image Processing (ICIP), Brussels, 11-14 September, 2011

[pdf] [code] [video] [poster]

 

Global analysis of haustral fold ridges for the reduction of false positives in CTC-CAD

T. Nawaz, G. Slabaugh

Proceedings of the Medical Image Understanding and Analysis (MIUA), London, 14-15 July, 2011

[pdf]

(Oral)

 

 

2009

Dense 3D reconstruction using Photometric stereo

T.H. Nawaz

Master Thesis, Heriot-Watt University, Edinburgh, United Kingdom, June 2009

Supervisor: Prof Paolo Favaro.

 

 

 

 

 

 

 

 

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