Computer Vision Analysis of Image Motion by Variational Methods
Mitiche, Amar.
creator
author.
Aggarwal, J.K.
author.
SpringerLink (Online service)
text
gw
Cham
Springer International Publishing
Imprint: Springer
2014
monographic
eng
access
VII, 207 p. 54 illus., 29 illus. in color. online resource.
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. The book addresses the four core subjects of motion analysis: Motion estimation, detection, tracking, and three-dimensional interpretation. Each topic is covered in a dedicated chapter. The presentation is prefaced by an introductory chapter which discusses the purpose of motion analysis. Further, a chapter is included which gives the basic tools and formulae related to curvature, Euler Lagrange equations, unconstrained descent optimization, and level sets, that the variational image motion processing methods use repeatedly in the book.
Image Motion Processing in Visual Function -- Background Preliminaries -- Optical Flow Estimation -- Motion Detection -- Tracking -- Optical Flow Three-Dimensional Interpretation.
by Amar Mitiche, J.K. Aggarwal.
Engineering
Hydraulic engineering
Engineering
Signal, Image and Speech Processing
Fluid- and Aerodynamics
Engineering Fluid Dynamics
TK5102.9
TA1637-1638
TK7882.S65
621.382
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