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1 Ullah, Habib; Altamimi, Ahmed Bder; Uzair, Muhammad; Ullah, Mohib.
Anomalous entities detection and localization in pedestrian flows. Neurocomputing 2018 ;Volum 290. s. 74-86
NTNU Untitled
2 Ullah, Habib; Ullah, Mohib; Muhammad, Uzair.
A hybrid social influence model for pedestrian motion segmentation. Neural computing & applications (Print) 2018 ;Volum 30. s. 1-17
NTNU Untitled
3 Ullah, Habib; Uzair, Muhammad; Ullah, Mohib; Khan, Asif; Ahmad, Ayaz; Khan, Wilayat.
Density independent hydrodynamics model for crowd coherency detection. Neurocomputing 2017 ;Volum 242. s. 28-39
NTNU Untitled
4 Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Wang, Zhaohui.
A Hierarchical Feature Model For Multi-Target Tracking. International Conference on Image Processing (ICIP); 2017-09-17 - 2017-09-20
NTNU Untitled
5 Ullah, Mohib; Ullah, Habib; Alseadonn, Ibrahim M.
Human action recognition in videos using stable features. Signal & Image Processing :An International Journal (SIPIJ) 2017
NTNU Untitled
6 Ullah, Mohib; Alaya Cheikh, Faouzi; Imran, Ali Shariq.
HoG Based Real-Time Multi-Target Tracking in Bayesian Framework. I: 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE 2016 ISBN 978-1-5090-3811-4. s. 416-422
NTNU Untitled
7 Ullah, Mohib; Ullah, Habib; Conci, Nicola; De Natale, Francesco G.B..
Crowd behavior identification. I: 2016 IEEE International Conference on Image Processing(ICIP)-Proceedings. IEEE Signal Processing Society 2016 ISBN 978-1-4673-9961-6. s. 1195-1199
NTNU Untitled