Blar i NTNU Open på forfatter "Uzair, Muhammad"

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    • Anomalous entities detection and localization in pedestrian flows 

      Ullah, Habib; Altamimi, Ahmed Bder; Uzair, Muhammad; Ullah, Mohib (Journal article; Peer reviewed, 2018)
      We propose a novel Gaussian kernel based integration model (GKIM) for anomalous entities detection and localization in pedestrian flows. The GKIM integrates spatio-temporal features for efficient and robust motion ...

    • Density independent hydrodynamics model for crowd coherency detection 

      Ullah, Habib; Uzair, Muhammad; Ullah, Mohib; Khan, Asif; Ahmad, Ayaz; Khan, Wilayat (Journal article; Peer reviewed, 2017)
      We propose density independent hydrodynamics model (DIHM) which is a novel and automatic method for coherency detection in crowded scenes. One of the major advantages of the DIHM is its capability to handle changing density ...