liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-6096-3648
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-3450-988X
Show others and affiliations
2015 (English)In: COMPUTER VISION - ECCV 2014 WORKSHOPS, PT I / [ed] Lourdes Agapito, Michael M. Bronstein and Carsten Rother, Springer Publishing Company, 2015, Vol. 8925, p. 223-237Conference paper, Published paper (Refereed)
Abstract [en]

Micro unmanned aerial vehicles are becoming increasingly interesting for aiding and collaborating with human agents in myriads of applications, but in particular they are useful for monitoring inaccessible or dangerous areas. In order to interact with and monitor humans, these systems need robust and real-time computer vision subsystems that allow to detect and follow persons.

In this work, we propose a low-level active vision framework to accomplish these challenging tasks. Based on the LinkQuad platform, we present a system study that implements the detection and tracking of people under fully autonomous flight conditions, keeping the vehicle within a certain distance of a person. The framework integrates state-of-the-art methods from visual detection and tracking, Bayesian filtering, and AI-based control. The results from our experiments clearly suggest that the proposed framework performs real-time detection and tracking of persons in complex scenarios

Place, publisher, year, edition, pages
Springer Publishing Company, 2015. Vol. 8925, p. 223-237
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 8925
Keywords [en]
Visual tracking; Visual surveillance; Micro UAV; Active vision
National Category
Computer Vision and Robotics (Autonomous Systems) Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-115847DOI: 10.1007/978-3-319-16178-5_15ISI: 000362493800015ISBN: 978-3-319-16177-8 (print)ISBN: 978-3-319-16178-5 (print)OAI: oai:DiVA.org:liu-115847DiVA, id: diva2:796839
Conference
13th European Conference on Computer Vision (ECCV) Switzerland, September 6-7 and 12
Available from: 2015-03-20 Created: 2015-03-20 Last updated: 2019-10-31Bibliographically approved

Open Access in DiVA

fulltext(1180 kB)50 downloads
File information
File name FULLTEXT01.pdfFile size 1180 kBChecksum SHA-512
0bb47bdcc31f5a70dae616af69b456b7f5ac9b4ae30bf0808d34f4439f11c46ec2bbf8dcf4d18027f4896b93ea7a9ae82cea4eab7c72859077ad1471d89c103a
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Danelljan, MartinKhan, Fahad ShahbazFelsberg, MichaelGranström, KarlHeintz, FredrikRudol, PiotrWzorek, MariuszKvarnström, JonasDoherty, Patrick

Search in DiVA

By author/editor
Danelljan, MartinKhan, Fahad ShahbazFelsberg, MichaelGranström, KarlHeintz, FredrikRudol, PiotrWzorek, MariuszKvarnström, JonasDoherty, Patrick
By organisation
Computer VisionThe Institute of TechnologyFaculty of Science & EngineeringCenter for Medical Image Science and Visualization (CMIV)Automatic ControlArtificial Intelligence and Integrated Computer Systems
Computer Vision and Robotics (Autonomous Systems)Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 50 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 1312 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf