Motion History Images for Action Recognition and Understanding (Record no. 55646)
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fixed length control field | 02366nam a22004575i 4500 |
001 - CONTROL NUMBER | |
control field | 978-1-4471-4730-5 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421111842.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 121227s2013 xxk| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781447147305 |
-- | 978-1-4471-4730-5 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.4 |
100 1# - AUTHOR NAME | |
Author | Ahad, Md. Atiqur Rahman. |
245 10 - TITLE STATEMENT | |
Title | Motion History Images for Action Recognition and Understanding |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVI, 116 p. 34 illus. |
490 1# - SERIES STATEMENT | |
Series statement | SpringerBriefs in Computer Science, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- Action Representation -- Motion History Image -- Action Datasets and MHI. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4471-4730-5 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
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-- | London : |
-- | Springer London : |
-- | Imprint: Springer, |
-- | 2013. |
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-- | computer |
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-- | rdamedia |
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-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern recognition. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern Recognition. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2191-5768 |
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-- | ZDB-2-SCS |
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