liu.seSearch for publications in DiVA
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Object Tracking in Thermal Infrared Imagery based on Channel Coded Distribution Fields
Linköpings universitet, Institutionen för systemteknik, Datorseende. Linköpings universitet, Tekniska fakulteten. Termisk Systemteknik AB, Linköping, Sweden.ORCID-id: 0000-0002-6591-9400
Linköpings universitet, Institutionen för systemteknik, Datorseende. Linköpings universitet, Tekniska fakulteten. Termisk Systemteknik AB, Linköping, Sweden.ORCID-id: 0000-0002-6763-5487
Linköpings universitet, Institutionen för systemteknik, Datorseende. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0002-6096-3648
2017 (engelsk)Konferansepaper, Oral presentation only (Annet vitenskapelig)
Abstract [en]

We address short-term, single-object tracking, a topic that is currently seeing fast progress for visual video, for the case of thermal infrared (TIR) imagery. Tracking methods designed for TIR are often subject to a number of constraints, e.g., warm objects, low spatial resolution, and static camera. As TIR cameras become less noisy and get higher resolution these constraints are less relevant, and for emerging civilian applications, e.g., surveillance and automotive safety, new tracking methods are needed. Due to the special characteristics of TIR imagery, we argue that template-based trackers based on distribution fields should have an advantage over trackers based on spatial structure features. In this paper, we propose a templatebased tracking method (ABCD) designed specifically for TIR and not being restricted by any of the constraints above. The proposed tracker is evaluated on the VOT-TIR2015 and VOT2015 datasets using the VOT evaluation toolkit and a comparison of relative ranking of all common participating trackers in the challenges is provided. Experimental results show that the ABCD tracker performs particularly well on thermal infrared sequences.

sted, utgiver, år, opplag, sider
Svenska sällskapet för automatiserad bildanalys (SSBA) , 2017.
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-136743OAI: oai:DiVA.org:liu-136743DiVA, id: diva2:1090347
Konferanse
Swedish Symposium on Image Analysis
Forskningsfinansiär
Swedish Research Council, D0570301EU, FP7, Seventh Framework Programme, 312784EU, FP7, Seventh Framework Programme, 607567Swedish Research Council, 2014-6227Tilgjengelig fra: 2017-04-24 Laget: 2017-04-24 Sist oppdatert: 2019-05-09bibliografisk kontrollert

Open Access i DiVA

Object Tracking in Thermal Infrared Imagery based on Channel Coded Distribution Fields(1196 kB)6 nedlastinger
Filinformasjon
Fil FULLTEXT02.pdfFilstørrelse 1196 kBChecksum SHA-512
456dab0184c395958271a21623ad19156b162a9bf13e067f4a5d0c1836435a0ab5ae8136df4d071da17c5fa8985771cc1887e1556a00a8b3f59eeabfdf9c8a33
Type fulltextMimetype application/pdf

Personposter BETA

Berg, AmandaAhlberg, JörgenFelsberg, Michael

Søk i DiVA

Av forfatter/redaktør
Berg, AmandaAhlberg, JörgenFelsberg, Michael
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 6 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 706 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf