03063nam a22005055i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118041000800153050001300161050001600174050001500190072001700205072001600222072002300238072002300261082001600284100002800300245012600328260007500454264007500529300006500604336002600669337002600695338003600721347002400757490005900781505018400840520114501024650001702169650002702186650001702213650004102230650002902271650003202300700002802332710003402360773002002394776003602414830005902450856004802509978-3-319-00711-3DE-He21320141015144327.0cr nn 008mamaa130904s2014 gw | s |||| 0|eng d a97833190071137 a10.1007/978-3-319-00711-32doi aeng 4aTK5102.9 4aTA1637-1638 4aTK7882.S65 7aTTBM2bicssc 7aUYS2bicssc 7aTEC0080002bisacsh 7aCOM0730002bisacsh04a621.3822231 aMitiche, Amar.eauthor.10aComputer Vision Analysis of Image Motion by Variational Methodsh[electronic resource] /cby Amar Mitiche, J.K. Aggarwal. 1aCham :bSpringer International Publishing :bImprint: Springer,c2014. 1aCham :bSpringer International Publishing :bImprint: Springer,c2014. aVII, 207 p. 54 illus., 29 illus. in color.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda1 aSpringer Topics in Signal Processing,x1866-2609 ;v100 aImage Motion Processing in Visual Function -- Background Preliminaries -- Optical Flow Estimation -- Motion Detection -- Tracking -- Optical Flow Three-Dimensional Interpretation. aThis 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. 0aEngineering. 0aHydraulic engineering.14aEngineering.24aSignal, Image and Speech Processing.24aFluid- and Aerodynamics.24aEngineering Fluid Dynamics.1 aAggarwal, J.K.eauthor.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9783319007106 0aSpringer Topics in Signal Processing,x1866-2609 ;v1040uhttp://dx.doi.org/10.1007/978-3-319-00711-3