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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F09%3A00163104%21RIV12-MSM-21230___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
We present a wearable audio-visual capturing system, termed AWEAR 2.0, along with its underlying vision components that allow robust self-localization, multi-body pedestrian tracking, and dense scene reconstruction. Designed as a backpack, the system is aimed at supporting the cognitive abilities of the wearer. In this paper, we focus on the design issues for the hardware platform and on the performance of the current state-of-the-art computer vision methods on the acquired sequences. We describe the calibration procedure of the two omni-directional cameras present in the system as well as a Structure-from-Motion pipeline that allows for stable multi-body tracking even from rather shaky video sequences thanks to ground plane stabilization. Furthermore, we show how a dense scene reconstruction can be obtained from the data acquired with the platform. We present a wearable audio-visual capturing system, termed AWEAR 2.0, along with its underlying vision components that allow robust self-localization, multi-body pedestrian tracking, and dense scene reconstruction. Designed as a backpack, the system is aimed at supporting the cognitive abilities of the wearer. In this paper, we focus on the design issues for the hardware platform and on the performance of the current state-of-the-art computer vision methods on the acquired sequences. We describe the calibration procedure of the two omni-directional cameras present in the system as well as a Structure-from-Motion pipeline that allows for stable multi-body tracking even from rather shaky video sequences thanks to ground plane stabilization. Furthermore, we show how a dense scene reconstruction can be obtained from the data acquired with the platform.
dcterms:title
AWEAR 2.0 System: Omni-directional Audio-Visual Data Acquisition and Processing AWEAR 2.0 System: Omni-directional Audio-Visual Data Acquisition and Processing
skos:prefLabel
AWEAR 2.0 System: Omni-directional Audio-Visual Data Acquisition and Processing AWEAR 2.0 System: Omni-directional Audio-Visual Data Acquisition and Processing
skos:notation
RIV/68407700:21230/09:00163104!RIV12-MSM-21230___
n4:aktivita
n10:P n10:Z
n4:aktivity
P(GA201/07/1136), Z(MSM6840770038)
n4:dodaniDat
n19:2012
n4:domaciTvurceVysledku
Torii, Akihiko n9:6245269 n9:5043476 Jančošek, Michal
n4:druhVysledku
n7:D
n4:duvernostUdaju
n16:S
n4:entitaPredkladatele
n15:predkladatel
n4:idSjednocenehoVysledku
304577
n4:idVysledku
RIV/68407700:21230/09:00163104
n4:jazykVysledku
n22:eng
n4:klicovaSlova
Omnidirectional Vision; Audio-Visual Data Acquisition
n4:klicoveSlovo
n20:Audio-Visual%20Data%20Acquisition n20:Omnidirectional%20Vision
n4:kontrolniKodProRIV
[50639AF78269]
n4:mistoKonaniAkce
Miami
n4:mistoVydani
Madison
n4:nazevZdroje
EGOVIS 2009: Proceedings of the First Workshop on Egocentric Vision
n4:obor
n8:JD
n4:pocetDomacichTvurcuVysledku
4
n4:pocetTvurcuVysledku
7
n4:projekt
n11:GA201%2F07%2F1136
n4:rokUplatneniVysledku
n19:2009
n4:tvurceVysledku
Torii, Akihiko Ess, A. Van Gool, L. Jančošek, Michal Havlena, Michal Moreau, W. Pajdla, Tomáš
n4:typAkce
n23:WRD
n4:wos
000274887100007
n4:zahajeniAkce
2009-06-20+02:00
n4:zamer
n18:MSM6840770038
s:issn
1063-6919
s:numberOfPages
8
n3:doi
10.1109/CVPRW.2009.5204361
n21:hasPublisher
Omnipress
n13:isbn
978-1-4244-3994-2
n14:organizacniJednotka
21230