TY  - BOOK
AU  - Mitiche, Amar.
AU  - Aggarwal, J. K. 
TI  - Computer vision analysis of image motion by variational methods
T2  - Springer topics in signal processing
SN  - 9783319007106
U1  - 621.367 23
PY  - 2014///
CY  - Switzerland
PB  - Springer
KW  - Image processing
KW  - Digital techniques
KW  - Optical pattern recognition
KW  - Image analysis
KW  - Mathematical models
KW  - Computer vision
KW  -  Signal, Image and Speech Processing.
N1  - Includes bibliographical references and index; 1. Image motion processing in visual function--
2. Background preliminaries--
3. Optical flow estimation--
4. Motion detection--
5. Tracking--
6. Optical flow three-dimensional interpretation--
Index
N2  - This book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address a problem from an optimization standpoint, i.e., they formulate it as the optimization of an objective function or functional. The methods of image motion analysis described in this book use the calculus of variations to minimize (or maximize) an objective functional which transcribes all of the constraints that characterize the desired motion variables
ER  -