Analysis and recognition of human actions with flow features and temporal models

This work focuses the recognition of complex human activities in video data. A combination of new features and techniques from speech recognition is used to realize a recognition of action units and their combinations in video sequences. The presented approach shows how motion information gained fro...

Full description

Saved in:
Bibliographic Details
:
Year of Publication:2014
Language:English
Physical Description:1 electronic resource (XV, 183 p. p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993545672904498
ctrlnum (CKB)4920000000102034
(oapen)https://directory.doabooks.org/handle/20.500.12854/40815
(EXLCZ)994920000000102034
collection bib_alma
record_format marc
spelling Kühne, Hildegard auth
Analysis and recognition of human actions with flow features and temporal models
KIT Scientific Publishing 2014
1 electronic resource (XV, 183 p. p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Open access Unrestricted online access star
This work focuses the recognition of complex human activities in video data. A combination of new features and techniques from speech recognition is used to realize a recognition of action units and their combinations in video sequences. The presented approach shows how motion information gained from video data can be used to interpret the underlying structural information of actions and how higher level models allow an abstraction of different motion categories beyond simple classification.
English
Videoanalyse
motion features
generative ModelleAction recognition
generative models
Bewegungsmerkmale
Bewegungserkennung
video analysis
3-7315-0282-8
language English
format eBook
author Kühne, Hildegard
spellingShingle Kühne, Hildegard
Analysis and recognition of human actions with flow features and temporal models
author_facet Kühne, Hildegard
author_variant h k hk
author_sort Kühne, Hildegard
title Analysis and recognition of human actions with flow features and temporal models
title_full Analysis and recognition of human actions with flow features and temporal models
title_fullStr Analysis and recognition of human actions with flow features and temporal models
title_full_unstemmed Analysis and recognition of human actions with flow features and temporal models
title_auth Analysis and recognition of human actions with flow features and temporal models
title_new Analysis and recognition of human actions with flow features and temporal models
title_sort analysis and recognition of human actions with flow features and temporal models
publisher KIT Scientific Publishing
publishDate 2014
physical 1 electronic resource (XV, 183 p. p.)
isbn 1000043583
3-7315-0282-8
illustrated Not Illustrated
work_keys_str_mv AT kuhnehildegard analysisandrecognitionofhumanactionswithflowfeaturesandtemporalmodels
status_str n
ids_txt_mv (CKB)4920000000102034
(oapen)https://directory.doabooks.org/handle/20.500.12854/40815
(EXLCZ)994920000000102034
carrierType_str_mv cr
is_hierarchy_title Analysis and recognition of human actions with flow features and temporal models
_version_ 1787548474794835968
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01629nam-a2200361z--4500</leader><controlfield tag="001">993545672904498</controlfield><controlfield tag="005">20240102184908.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202102s2014 xx |||||o ||| 0|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1000043583</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)4920000000102034</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/40815</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)994920000000102034</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kühne, Hildegard</subfield><subfield code="4">auth</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Analysis and recognition of human actions with flow features and temporal models</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">KIT Scientific Publishing</subfield><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (XV, 183 p. p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Open access</subfield><subfield code="f">Unrestricted online access</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This work focuses the recognition of complex human activities in video data. A combination of new features and techniques from speech recognition is used to realize a recognition of action units and their combinations in video sequences. The presented approach shows how motion information gained from video data can be used to interpret the underlying structural information of actions and how higher level models allow an abstraction of different motion categories beyond simple classification.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Videoanalyse</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">motion features</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">generative ModelleAction recognition</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">generative models</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Bewegungsmerkmale</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Bewegungserkennung</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">video analysis</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-7315-0282-8</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2024-01-03 03:18:46 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2019-11-10 04:18:40 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&amp;portfolio_pid=5337994430004498&amp;Force_direct=true</subfield><subfield code="Z">5337994430004498</subfield><subfield code="b">Available</subfield><subfield code="8">5337994430004498</subfield></datafield></record></collection>