00000cmm a22000004i 4500 UP-99796217611095377 Buklod 20140204132348.0 m go j cr |n |||auu|a 111201s2011 xx u | eng d 9789491216206 (eBook) 9491216201 (eBook) (iLib)UPD-00212404870 DLC DML eng DMLUC TA 1634 A33 2011eb Ahad, Md. Atiqur Rahman Computer vision and action recognition [electronic resource] a guide for image processing and computer vision community for action understanding by Md. Atiqur Rahman Ahad. Amsterdam Paris Atlantis Press c2011. 1 online resource (xx1, 211 p.) Atlantis ambient and pervasive intelligence 1875-7669 5 Introduction -- Low-level Image Processing for Action Representations -- Action Representation Approaches -- MHI A Global-based Generic Approach -- Shape Representation and Feature Vector Analysis -- Action Datasets.-Challenges Ahead. IP-based subscription, access limited to within on-campus computer network. Access via Electronic Resources of the UPD University Library Website. Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings. The field of action and activity representation and recognition is relatively old, yet not well-understood by the students and research community. Some important but common motion recognition problems are even now unsolved properly by the computer vision community. However, in the last decade, a number of good approaches are proposed and evaluated subsequently by many researchers. Among those methods, some methods get significant attention from many researchers in the computer vision field due to their better robustness and performance. This book will cover gap of information and materials on comprehensive outlook through various strategies from the scratch to the state-of-the-art on computer vision regarding action recognition approaches. This book will target the students and researchers who have knowledge on image processing at a basic level and would like to explore more on this area and do research. The step by step methodologies will encourage one to move forward for a comprehensive knowledge on computer vision for recognizing various human actions. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Computer vision. Pattern recognition systems. Image processing Digital techniques. Electronic books. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.2991/978-94-91216-20-6 (viewed 15 May 2014) FO Monograph UPD DMLR Electronic Resource