Statistical and Geometrical Approaches to Visual Motion Analysis International Dagstuhl Seminar, Dagstuhl Castle, Germany, July 13-18, 2008. Revised Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Cremers, Daniel. (Editor), Rosenhahn, Bodo. (Editor), Yuille, Alan L. (Editor), Schmidt, Frank R. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
• Series: Lecture Notes in Computer Science, 5604
• Subjects: Computer science.; Artificial intelligence.; Computer graphics.; Computer vision.; Optical pattern recognition.; Bioinformatics.; Computer Science.; Image Processing and Computer Vision.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).; Computer Graphics.; Probability and Statistics in Computer Science.; Computational Biology/Bioinformatics.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-03061-1

 This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Statistical and Geometrical Approaches to Visual Motion Analysis, held in Dagstuhl Castle, Germany, in July 2008. The workshop focused on critical aspects of motion analysis, including motion segmentation and the modeling of motion patterns. The aim was to gather researchers who are experts in the different motion tasks and in the different techniques used; also involved were experts in the study of human and primate vision. The 15 revised full papers presented were carefully reviewed and selected from or initiated by the lectures given at the workshop. The papers are organized in topical sections on optical flow and extensions, human motion modeling, biological and statistical approaches, alternative approaches to motion analysis.