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[null,"1.","Record Nr.",null,"UNINA9910437595703321"]
[null,null,"Autore",null,"Ahad Md. Atiqur Rahman"]
[null,null,"Titolo",null,"Motion history images for action recognition and understanding / / Md. Atiqur Rahman Ahad"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Springer, 2013"]
[null,null,"ISBN",null,"1-283-94600-9"]
[{"$nulls":4},"1-4471-4730-8"]
[null,null,"Edizione",null,"[1st ed. 2013.]"]
[null,null,"Descrizione fisica",null,"1 online resource (131 p.)"]
[null,null,"Collana",null,"SpringerBriefs in computer science, , 2191-5768"]
[null,null,"Disciplina",null,"006.3/7"]
[{"$nulls":4},"006.37"]
[null,null,"Soggetti",null,"Visual perception"]
[{"$nulls":4},"Recognition (Psychology)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Introduction -- Action Representation -- Motion History Image -- Action Datasets and MHI."]
[null,null,null,"Sommario/riassunto","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."]