• Background-Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering 

      Javed, Sajid; Mahmood, Arif; Bouwmans, Thierry; Jung, Soon Ki ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)
      Background estimation and foreground segmentation are important steps in many high-level vision tasks. Many existing methods estimate background as a low-rank component and foreground as a sparse matrix without incorporating ...
    • Spatiotemporal Low-Rank Modeling for Complex Scene Background Initialization 

      Javed S.; Mahmood A.; Bouwmans T.; Jung S.K. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)
      Background modeling constitutes the building block of many computer-vision tasks. Traditional schemes model the background as a low rank matrix with corrupted entries. These schemes operate in batch mode and do not scale ...
    • Video summarization based on motion detection for surveillance systems 

      Elharrouss, Omar; Al-Maadeed, Noor; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      In this paper a video summarization method based on motion detection has been proposed. Sensor noise (noise of acquisition and digitization) and the illumination changes in the scene are the most limitations of the background ...