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

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications. Incorporating both existing and new ideas, the book conveniently gives you one-stop access to a number of different decompositions, algorithms, implementations, and bench marking techniques. Divided into five parts, the book begins with an overall introduction to robust principal com ponent analysis (PCA) via decomposition into low-rank and sparse matrices. The second part addresses robust matrix factorization/completion problems while the third part focuses on robust online subspace estimation, learning, and tracking. Covering applications in image and video processing, the fourth part discusses image analysis, image denoising, motion sa liency detection, video coding, key frame extraction, and hyperspectral video processing. The final part presents resources and applications in background/foreground separation for video surveillance. Features, Provides a framework for computer vision applications, including image processing and video surveillance, Describes many methods and algorithms to tackle different formulation problems, such as robust PGA, robust non-negative matrix factorization, robust matrix completion, subspace tracking, and low-rank minimization, Presents an introduction for beginners that reviews various decompositions, loss functions, optimization problems, and solvers, Offers software demos, datasets, and codes on a supplementary website, With contributions from leading teams around the world, this handbook provides a complete overview of the concepts, theories, algorithms, and applications related to robust low-rank and sparse matrix decompositions. It is designed for researchers, developers, and graduate students in computer vision, image and video processing, real-time architecture, machine learning, and data mining. Book jacket.