02669nam 2200601 a 450 991043759570332120200520144314.01-283-94600-91-4471-4730-810.1007/978-1-4471-4730-5(CKB)2670000000316137(EBL)1081764(OCoLC)824455683(SSID)ssj0000879336(PQKBManifestationID)11495294(PQKBTitleCode)TC0000879336(PQKBWorkID)10852345(PQKB)11378641(DE-He213)978-1-4471-4730-5(MiAaPQ)EBC1081764(PPN)168294095(EXLCZ)99267000000031613720121004d2013 uy 0engur|n|---|||||txtccrMotion history images for action recognition and understanding /Md. Atiqur Rahman Ahad1st ed. 2013.New York Springer20131 online resource (131 p.)SpringerBriefs in computer science,2191-5768Description based upon print version of record.1-4471-4729-4 Includes bibliographical references and index.Introduction -- Action Representation -- Motion History Image -- Action Datasets and MHI.Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers.  The large number of possible variations in human motion and appearance, camera viewpoint, and environment, present considerable challenges.  Some important and common problems remain unsolved by the computer vision community. However, many valuable approaches have been proposed over the past decade, including the motion history image (MHI) method. This method has received significant attention, as it offers greater robustness and performance than other techniques. This work presents a comprehensive review of these state-of-the-art approaches and their applications, with a particular focus on the MHI method and its variants.SpringerBriefs in Computer Science,2191-5768Visual perceptionRecognition (Psychology)Visual perception.Recognition (Psychology)006.3/7006.37Ahad Md. Atiqur Rahman1063803MiAaPQMiAaPQMiAaPQBOOK9910437595703321Motion History Images for Action Recognition and Understanding2534647UNINA