• 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 ...
    • Motion-Aware Graph Regularized RPCA for background modeling of complex scenes 

      Javed, Sajid; Jung, Soon Ki; Mahmood, Arif; Bouwmans, Thierry ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Computing a background model from a given sequence of video frames is a prerequisite for many computer vision applications. Recently, this problem has been posed as learning a low-dimensional subspace from high dimensional ...
    • Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA 

      Javed, Sajid; Mahmood, Arif; Al-Maadeed, Somaya; Bouwmans, Thierry; Jung, Soon Ki ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      Moving object detection is a fundamental step in various computer vision applications. Robust principal component analysis (RPCA)-based methods have often been employed for this task. However, the performance of these ...