Dynamic stereo vision system for real-time tracking
Biologically-inspired dynamic vision sensors have been introduced in 2002 which asynchronously detect the significant relative light intensity changes in a scene and output them in a form of Address-Event representation. These vision sensors capture dynamical discontinuities on-chip for a reduced da...
Saved in:
Published in | 2010 IEEE International Symposium on Circuits and Systems (ISCAS) pp. 1409 - 1412 |
---|---|
Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.05.2010
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Biologically-inspired dynamic vision sensors have been introduced in 2002 which asynchronously detect the significant relative light intensity changes in a scene and output them in a form of Address-Event representation. These vision sensors capture dynamical discontinuities on-chip for a reduced data volume compared to that from intensity images. Therefore, they support detection, segmentation and tracking of moving objects in the Address-Event space by exploiting the generated events, as a reaction to intensity changes, resulting from the scene dynamics. Object tracking has been previously demonstrated and reported in scientific publications using monocular dynamic vision sensors. This paper contributes with presenting and demonstrating a tracking algorithm using the 3D sensing technology based on the stereo dynamic vision sensor. This system is capable of detecting and tracking persons within a 4m range at an effective refresh rate of the depth map of up to 200 per second. The 3D system is evaluated for people tracking and the tests showed that up to 60k Address-Events/s can be processed for real-time tracking. |
---|---|
AbstractList | Biologically-inspired dynamic vision sensors have been introduced in 2002 which asynchronously detect the significant relative light intensity changes in a scene and output them in a form of Address-Event representation. These vision sensors capture dynamical discontinuities on-chip for a reduced data volume compared to that from intensity images. Therefore, they support detection, segmentation and tracking of moving objects in the Address-Event space by exploiting the generated events, as a reaction to intensity changes, resulting from the scene dynamics. Object tracking has been previously demonstrated and reported in scientific publications using monocular dynamic vision sensors. This paper contributes with presenting and demonstrating a tracking algorithm using the 3D sensing technology based on the stereo dynamic vision sensor. This system is capable of detecting and tracking persons within a 4m range at an effective refresh rate of the depth map of up to 200 per second. The 3D system is evaluated for people tracking and the tests showed that up to 60k Address-Events/s can be processed for real-time tracking. |
Author | Belbachir, A N Milosevic, N Schraml, S Schön, Peter |
Author_xml | – sequence: 1 givenname: S surname: Schraml fullname: Schraml, S organization: Neuroinformatics, Safety & Security Dept., AIT Austrian Inst. of Technol., Vienna, Austria – sequence: 2 givenname: A N surname: Belbachir fullname: Belbachir, A N email: nabil.belbachir@ait.ac.at organization: Neuroinformatics, Safety & Security Dept., AIT Austrian Inst. of Technol., Vienna, Austria – sequence: 3 givenname: N surname: Milosevic fullname: Milosevic, N organization: Neuroinformatics, Safety & Security Dept., AIT Austrian Inst. of Technol., Vienna, Austria – sequence: 4 givenname: Peter surname: Schön fullname: Schön, Peter organization: Neuroinformatics, Safety & Security Dept., AIT Austrian Inst. of Technol., Vienna, Austria |
BookMark | eNo1kF9LwzAUxa-6gd3sF9CXfoHM5CZpk8dR_w0GPkyfR5reSHRtpS1Cv70F53k5HH5wOJwVLNquJYBbwTdCcHu_O5Tbwwb5nLWWBRp7AaktjFColJbc4iUkKLRhQqO-gtU_MHYBCcdCMCU5LiExnOUqn8k1pMPwyWcpjbksEpAPU-ua6LNhpJ667CcOsWuzYZpzk4Wuz3pyJzbGhrKxd_4rth83sAzuNFB69jW8Pz2-lS9s__q8K7d75hHVyAL3zldoydV17YIOXjmUoZa5ML4q5qXBFj4XlkvnRe6wCl4qUmi4MGRJruHurzcS0fG7j43rp-P5C_kLbr1OQQ |
CitedBy_id | crossref_primary_10_3389_fncir_2021_610446 crossref_primary_10_1109_ACCESS_2021_3058423 crossref_primary_10_1007_s11263_017_1050_6 crossref_primary_10_1109_TPAMI_2020_3008413 crossref_primary_10_3389_fnbot_2019_00029 crossref_primary_10_3389_fnins_2018_00442 crossref_primary_10_1007_s502_010_0750_1 crossref_primary_10_1038_s41565_024_01665_7 crossref_primary_10_1109_ACCESS_2022_3154895 crossref_primary_10_1109_TIE_2015_2477265 crossref_primary_10_1109_TCSVT_2022_3189480 crossref_primary_10_3389_fnbot_2019_00082 |
ContentType | Conference Proceeding |
DBID | 6IE 6IH CBEJK RIE RIO |
DOI | 10.1109/ISCAS.2010.5537289 |
DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan (POP) 1998-present by volume IEEE Xplore All Conference Proceedings IEL IEEE Proceedings Order Plans (POP) 1998-present |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library Online url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
EISBN | 9781424453092 1424453097 |
EISSN | 2158-1525 |
EndPage | 1412 |
ExternalDocumentID | 5537289 |
Genre | orig-research |
GroupedDBID | -~X 29I 6IE 6IF 6IH 6IK 6IL 6IM 6IN AAJGR ABLEC ACGFS ADZIZ AI. ALMA_UNASSIGNED_HOLDINGS BEFXN BFFAM BGNUA BKEBE BPEOZ CBEJK CHZPO IEGSK IJVOP IPLJI JC5 M43 OCL RIE RIL RIO VH1 |
ID | FETCH-LOGICAL-c224t-f0cacb29eadddaf5fc4a23fd3618cb7453f97c61903ac16a2bfc34e428018e9e3 |
IEDL.DBID | RIE |
ISBN | 1424453089 9781424453085 |
ISSN | 0271-4302 |
IngestDate | Wed Jun 26 19:29:00 EDT 2024 |
IsPeerReviewed | false |
IsScholarly | true |
LCCN | 80-646530 |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c224t-f0cacb29eadddaf5fc4a23fd3618cb7453f97c61903ac16a2bfc34e428018e9e3 |
PageCount | 4 |
ParticipantIDs | ieee_primary_5537289 |
PublicationCentury | 2000 |
PublicationDate | 2010-May |
PublicationDateYYYYMMDD | 2010-05-01 |
PublicationDate_xml | – month: 05 year: 2010 text: 2010-May |
PublicationDecade | 2010 |
PublicationTitle | 2010 IEEE International Symposium on Circuits and Systems (ISCAS) |
PublicationTitleAbbrev | ISCAS |
PublicationYear | 2010 |
Publisher | IEEE |
Publisher_xml | – name: IEEE |
SSID | ssj0000452637 ssj0020062 |
Score | 2.0028298 |
Snippet | Biologically-inspired dynamic vision sensors have been introduced in 2002 which asynchronously detect the significant relative light intensity changes in a... |
SourceID | ieee |
SourceType | Publisher |
StartPage | 1409 |
SubjectTerms | Biosensors Event detection Image segmentation Image sensors Layout Object detection Real time systems Space technology Stereo vision System testing |
Title | Dynamic stereo vision system for real-time tracking |
URI | https://ieeexplore.ieee.org/document/5537289 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV07T8MwED61nWDh0SLe8sBIWieOY2dEhaogFSGVSt0qPxdQi6p04ddzzqMUxMASOVnsiy3dfef7vgO4UXgoPD4im6cIULSMI0V1Ggltc0atE4wHvvPkORvP0qc5n7fgdsuFcc6VxWeuH4blXb5dmU1IlQ04ZwIBQhvakiYVV2ubTwnS4NkO2ArkwDK_InAJjCYNqYszKvNG66l-5w2bhuaDx-nwblqVfNXT_ei7Urqd0QFMmgVX1SZv_U2h--bzl5bjfy06hN43wY-8bF3XEbTc8hj2d7QJu8Duq171JCgpuBWpSOikUn4mGOoSDDffo9CbnhRrZULKvQez0cPrcBzVHRYig667iDw1yugkx-NkrfLcm1QlzFuWxdJogT_H58IgxqJMmThTifaGpQ4hC42lyx07gc5ytXSnQHCHeSDBGplhkGKk1NRSa6V3xnsh_Bl0g_mLj0pEY1Fbfv735wvYa67paXwJnWK9cVfo_Qt9XW77F5wvqA0 |
link.rule.ids | 310,311,786,790,795,796,802,27956,55107 |
linkProvider | IEEE |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT8JAEN4gHtSLDzC-3YNHC9tut7s9GpSAAjEBEm5knxcNGFIu_npn-0A0Hrw0bS_d2U4y883O9w1CdxKcwsElMGkMAEWJMJBExQFXJqXEWE6Z5zsPR0lvGj_P2KyG7jdcGGtt3nxmW_42P8s3S732pbI2Y5QDQNhBuxDnCS_YWpuKihcHT7bglqcH5hUWDougJKpoXYwSkVZqT-Uzq_g0JG33x52HcdH0VX7wx-SVPPB0D9GwWnLRb_LWWmeqpT9_qTn-16Yj1Pym-OHXTfA6RjW7OEEHW-qEDUQfi2n12Gsp2CUuaOi40H7GkOxiSDjfAz-dHmcrqX3RvYmm3adJpxeUMxYCDcE7CxzRUqsoBYcyRjrmdCwj6gxNQqEVh81xKdeAsgiVOkxkpJymsQXQQkJhU0tPUX2xXNgzhOEfM0-D1SKBNEULoYghxghntXOcu3PU8ObPPwoZjXlp-cXfr2_RXm8yHMwH_dHLJdqvDu1JeIXq2WptryEXyNRN7gJfsBGrYQ |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2010+IEEE+International+Symposium+on+Circuits+and+Systems+%28ISCAS%29&rft.atitle=Dynamic+stereo+vision+system+for+real-time+tracking&rft.au=Schraml%2C+S&rft.au=Belbachir%2C+A+N&rft.au=Milosevic%2C+N&rft.au=Scho%CC%88n%2C+Peter&rft.date=2010-05-01&rft.pub=IEEE&rft.isbn=9781424453085&rft.issn=0271-4302&rft.eissn=2158-1525&rft.spage=1409&rft.epage=1412&rft_id=info:doi/10.1109%2FISCAS.2010.5537289&rft.externalDocID=5537289 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0271-4302&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0271-4302&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0271-4302&client=summon |