<div class="csl-bib-body">
<div class="csl-entry">Gabdulkhakova, A., & Kropatsch, W. G. (2014). Video analysis of a snooker footage based on a kinematic model. In <i>Structural, Syntactic, and Statistical Pattern Recognition</i> (pp. 223–232). Springer. https://doi.org/10.1007/978-3-662-44415-3_23</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/157205
-
dc.description.abstract
Taking an inspiration from psychological studies of visual attention, the contribution of this paper lies in prediction of the critical points of the trajectory using the structure of a scene and physical motion model. On one side, we present our approach for video analysis that differs from traditional tracking techniques by predicting future states of the moving object rather than its next consecutive position using the physically-based motion functionality. On the other side, we propose to use the structure of the scene, which contains the information about the obstacles and space limits, for discovering the critical points of the trajectory. As a proof of concept we developed the use case application for analysing snooker footage.
en
dc.language.iso
en
-
dc.relation.ispartofseries
Lecture Notes in Computer Science
-
dc.subject
tracking
-
dc.subject
video analysis
-
dc.subject
visual attention
-
dc.subject
snooker
-
dc.subject
spatio-temporal prediction
-
dc.title
Video analysis of a snooker footage based on a kinematic model
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.publication
Structural, Syntactic, and Statistical Pattern Recognition
-
dc.relation.isbn
978-3-662-44415-3
-
dc.relation.doi
10.1007/978-3-662-44415-3
-
dc.relation.issn
0302-9743
-
dc.description.startpage
223
-
dc.description.endpage
232
-
dc.type.category
Full-Paper Contribution
-
dc.relation.eissn
1611-3349
-
tuw.booktitle
Structural, Syntactic, and Statistical Pattern Recognition
-
tuw.container.volume
8621
-
tuw.journal.peerreviewed
false
-
tuw.peerreviewed
true
-
tuw.book.ispartofseries
Lecture Notes in Computer Science
-
tuw.relation.publisher
Springer
-
tuw.publication.invited
invited
-
tuw.researchTopic.id
I5
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E193-03 - Forschungsbereich Virtual and Augmented Reality
-
tuw.publisher.doi
10.1007/978-3-662-44415-3_23
-
dc.description.numberOfPages
10
-
tuw.event.name
Joint IAPR International Workshop, S+SSPR 2014
-
wb.sci
false
-
tuw.event.startdate
20-08-2014
-
tuw.event.enddate
22-08-2014
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Joensuu
-
tuw.event.country
FI
-
tuw.event.presenter
Gabdulkhakova, Aysylu
-
wb.sciencebranch
Informatik
-
wb.sciencebranch.oefos
1020
-
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
de
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
en
wb.facultyfocus.faculty
E180
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.cerifentitytype
Publications
-
item.cerifentitytype
Publications
-
item.fulltext
no Fulltext
-
item.openairetype
Konferenzbeitrag
-
item.openairetype
Inproceedings
-
item.grantfulltext
none
-
item.languageiso639-1
en
-
crisitem.author.dept
TU Wien, Österreich
-
crisitem.author.dept
E193-03 - Forschungsbereich Virtual and Augmented Reality
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology