Tauseef Ali

Tauseef Ali has a PhD from the University of Twente in the area of face recognition and machine learning. He is interested in building and applying computer vision and machine learning based solutions to solve real-world problems. He works part-time at the research group on the project “Stimulas”. The focus of this project is to help improve the quality of life of elder people at old houses. For example, stimulating them to be physically more active by measuring, categorizing and visualizing their activity and movement data and providing them with personalized displays which show their favorite contents.

Mail: t.ali@saxion.nl

Publications


Ali, T. and Spreeuwers, L.J. and Veldhuis, R.N.J. and Meuwly, D. (2015) Sampling variability in forensic likelihood-ratio computation: A simulation study. Science & justice, 55 (6). pp. 499-508. ISSN 1355-0306


Ali, T. and Tome, P. and Fierrez, J. and Vera-Rodriguez, R. and Spreeuwers, L.J. and Veldhuis, R.N.J. A study of identification performance of facial regions from CCTV images. Computational forensics, Lecture notes in computer science, 8915. Springer International Publishing, Cham, Switzerland, pp. 83-91. ISBN 9783319201245


Mahmood, Z. and Ali, T. and Samee, U. (2015) Effects of pose and image resolution on automatic face recognition. IET biometrics, 5 (2). pp. 111-119. ISSN 2047-4938


Mahmood, Z. and Ali, T. and Khattak, S. and Hasan, L. and Samee, U. (2014) Automatic player detection and identification for sports entertainment applications. Pattern analysis and applications, 18(4). pp. 971-982. ISSN 1433-7541


Mehmood, Z. and Ali, T. and Khattak, S. and Samee, U. (2014) A comparative study of baseline algorithms of face recognition. In: 12th International Conference on Frontiers of Information Technology, FIT 2014, 17-19 December 2014, Islamabad, Pakistan (pp. 263-268).


Ali, T. and Spreeuwers, L.J. and Veldhuis, R.N.J. and Meuwly, D. (2014) Biometric evidence evaluation: an empirical assessment of the effect of different training data. IET Biometrics, 3 (4). pp. 335-346. ISSN 2047-4938


Ali, T (2014) Biometric score calibration for forensic face recognition. PhD thesis, University of Twente, Netherlands.


Ali, T. and Spreeuwers, L.J. and Veldhuis, R.N.J and Meuwly, D. (2013) Effect of calibration data on forensic likelihood ratio from a face recognition system. In: IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013, September 29 – October 2, 2013, Washington, DC, USA.


Ali, T. and Tom, P. and Fierrez, J. and Vera-Rodriguez, R. and Spreeuwers, L.J. and Veldhuis, R.N.J. (2012) A study of identification performance of facial regions from CCTV images. In: 5th International Workshop on Computational Forensics, IWCF 2012, 12-15 November 2012, Tsukuba, Japan (pp. 1-9).


Ali, T. and Spreeuwers, L.J. and Veldhuis, R.N.J. Forensic Face Recognition: A Survey. Face Recognition: Methods, Applications and Technology. Computer Science, Technology and Applications. Nova Publishers, pp. 1-19. ISBN 9781619426634


Ali, T. and Spreeuwers, L.J. and Veldhuis, R.N.J. A review of calibration methods for biometric systems in forensic applications. In: 33rd WIC Symposium on Information Theory in the Benelux, 24-25 May 2012, Boekelo, the Netherlands (pp. 126-133).


Ali, T. and Spreeuwers, L.J. and Veldhuis, R.N.J. Computation of likelihood ratio from small sample set of within-source variability. In: 6th European Academy of Forensic Science Conference, EAFS 2012, 20-24 August 2012, The Hague, the Netherlands.


Mahmood, Z. and Ali, T. and Khattak, S. (2012) Automatic player detection and recognition in images using AdaBoost. In: 9th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2012, 9-12 January 2012, Islamabad, Pakistan (pp. 64-69).


Ali, T. and Khattak, S. and Kim, I. (2011) Automatic red-eye effect removal using combined intensity and colour information. Imaging science journal, 59 (1). pp. 8-16. ISSN 1368-2199


Ali, T. and Spreeuwers, L.J. and Veldhuis, R.N.J. Towards automatic forensic face recognition. In: International Conference on Informatics Engineering and Information Science, ICIEIS 2011, 14-16 November 2011, Kuala Lumpur, Malaysia (pp. 47-55).


Ali, T. and Veldhuis, R.N.J and Spreeuwers, L.J. (2010) Forensic Face Recognition: A Survey. technical report, CTIT, University of Twente, Netherlands.