Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing

Author:   Thierry Bouwmans (University of La Rochelle, France) ,  Necdet Serhat Aybat (Pennsylvania State University, University Park, USA) ,  El-hadi Zahzah (University of La Rochelle, France)
Publisher:   Taylor & Francis Inc
ISBN:  

9781498724623


Pages:   520
Publication Date:   27 May 2016
Format:   Hardback
Availability:   In Print   Availability explained
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Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing


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Author:   Thierry Bouwmans (University of La Rochelle, France) ,  Necdet Serhat Aybat (Pennsylvania State University, University Park, USA) ,  El-hadi Zahzah (University of La Rochelle, France)
Publisher:   Taylor & Francis Inc
Imprint:   Chapman & Hall/CRC
Weight:   1.156kg
ISBN:  

9781498724623


ISBN 10:   1498724620
Pages:   520
Publication Date:   27 May 2016
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Robust Principal Component Analysis. Robust Matrix Factorization. Robust Subspace Learning and Tracking. Applications in Image and Video Processing. Applications in Background/Foreground Separation for Video Surveillance. Index.

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Thierry Bouwmans is an associate professor at the University of La Rochelle. He is the author of more than 30 papers on background modeling and foreground detection and is the creator and administrator of the Background Subtraction website and DLAM website. He has also served as a reviewer for numerous international conferences and journals. His research interests focus on the detection of moving objects in challenging environments. Necdet Serhat Aybat is an assistant professor in the Department of Industrial and Manufacturing Engineering at Pennsylvania State University. He received his PhD in operations research from Columbia University. His research focuses on developing fast first-order algorithms for large-scale convex optimization problems from diverse application areas, such as compressed sensing, matrix completion, convex regression, and distributed optimization. El-hadi Zahzah is an associate professor at the University of La Rochelle. He is the author of more than 60 papers on fuzzy logic, expert systems, image analysis, spatio-temporal modeling, and background modeling and foreground detection. His research interests focus on the spatio-temporal relations and detection of moving objects in challenging environments.

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