| Description |
1 online resource |
| Series |
The International Series in Video Computing, 1571-5205 ; 12 |
|
International series in video computing ; 12.
|
| Contents |
Introduction -- Background and Literature Review -- Seeing Through Water: Underwater Scene Reconstruction -- Simultaneous Turbulence Mitigation and Moving Object Detection -- Action Recognition by Motion Trajectory Decomposition -- Complex Event Recognition Using Constrained Rank Optimization -- Concluding Remarks -- Extended Derivations for Chapter 4 |
| Summary |
Recovering the low-rank structure of a linear subspace using a small set of corrupted examples has recently been made feasible through substantial advances in the area of matrix completion and nuclear-norm minimization. Such low-rank structures appear in certain conditions heavily in computer vision, for instance, in the frames of a video, the camera motion, and a picture of a building façade. In this book, we discuss several formulations and extensions of low-rank optimization, and demonstrate how recovering the underlying basis and detecting the corresponding outliers allow us to solve fundamental computer vision problems, including video denoising, background subtraction, action detection, and complex event recognition |
| Bibliography |
Includes bibliographical references |
| Notes |
English |
|
Print version record |
| Subject |
Computer vision.
|
|
Trajectory optimization.
|
|
COMPUTERS -- General.
|
|
Computer vision
|
|
Trajectory optimization
|
| Form |
Electronic book
|
| Author |
Shah, Mubarak, author.
|
| ISBN |
9783319041841 |
|
3319041843 |
|
