Survey
T. Bouwmans, S. Javed, M. Sultana, S. Jung, “Deep Neural Network Concepts in Background Subtraction: A Systematic Review and A Comparative Evaluation”, Neural Networks, Volume 117, pages 7-66, September 2019.
Background Subtraction based on DeepSphere
S. Ammar, T. Bouwmans, N. Zaghden, M. Neji, "A Deep Detector Classifier (DeepDC) for moving objects segmentation and classification in video surveillance", IET Image Processing, 2020.
S. Ammar, T. Bouwmans, N. Zaghden, M. Neji, "Moving Objects Segmentation Based on DeepSphere in Video Surveillance", International Symposium on Visual Computing, ISVC 2019, Tahoe City, USA, October 2019.
Background Initialization and Background Subtraction based on GANs
M. Sultana, A. Mahmood, T. Bouwmans M. Khan, S . Jung, "Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace Learning Methods", Fourth Workshop on Robust Subspace Learning and Computer Vision, ICCV 2021, Montréal, Canada, October 2021.
M. Sultana, T. Bouwmans, J. Giraldo, S. Jung, "Robust Foreground Segmentation in RGBD Data From Complex Scenes using Adversarial Networks", International Workshop on Frontiers of Computer Vision, IW-FCV 2021, Daegu, South Korea, February 2021.
M. Sultana, A. Mahmood, T. Bouwmans, S. Jung, "Dynamic Background Subtraction Using Least Square Adversarial Learning", IEEE International Conference on Image Processing, ICIP 2020, Abu Dhabi, UAE, October 2020.
M. Sultana, A. Mahmood, T. Bouwmans, S. Jung, "Unsupervised Adversarial Learning for Dynamic Background Modeling",International Workshop on Frontiers of Computer Vision, IW-FCV 2020, Ibusuki, Japan, February 2020.
M. Sultana, A. Mahmood, T. Bouwmans, S. Jung, "Complete Moving Object Detection in the Context of Robust Subspace Learning", Third Workshop on Robust Subspace Learning and Computer Vision, ICCV 2019, Seoul, South Korea, October 2019