bibtype C - Conference Paper (international conference)
ARLID 0537614
utime 20240111141047.4
mtime 20210115235959.9
title (primary) (eng) Tracking Fast Moving Objects by Segmentation Network
specification
page_count 8 s.
media_type E
serial
ARLID cav_un_epca*0537613
ISBN 978-172818808-9
ISSN 1051-4651
title 2021 25th International Conference on Pattern Recognition (ICPR)
page_num 10312-10319
publisher
place Piscataway
name IEEE
year 2021
keyword tracking
keyword fast moving objects
keyword deep segmentation
author (primary)
ARLID cav_un_auth*0293261
name1 Zita
name2 Aleš
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101209
name1 Šroubek
name2 Filip
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2021/ZOI/zita-0537614.pdf
source_size 8.1MB
cas_special
project
project_id GA18-05360S
agency GA ČR
ARLID cav_un_auth*0361425
project
project_id AP1701
agency AV ČR
country CZ
ARLID cav_un_auth*0349658
abstract (eng) We have proposed a tracking method for fast moving objects using a segmentation neural network.
action
ARLID cav_un_auth*0402697
name 2021 25th International Conference on Pattern Recognition (ICPR)
dates 20210110
mrcbC20-s 20210115
place Milan
country IT
reportyear 2022
RIV JD
FORD0 20000
FORD1 20200
FORD2 20204
num_of_auth 2
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0316067
confidential S
arlyear 2021
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU56 pdf 8.1MB
mrcbU63 cav_un_epca*0537613 2021 25th International Conference on Pattern Recognition (ICPR) 978-172818808-9 1051-4651 10312 10319 Piscataway IEEE 2021