• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Fakultet for informasjonsteknologi og elektroteknikk (IE)
  • Institutt for informasjonssikkerhet og kommunikasjonsteknologi
  • View Item
  •   Home
  • Fakultet for informasjonsteknologi og elektroteknikk (IE)
  • Institutt for informasjonssikkerhet og kommunikasjonsteknologi
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Multipeople tracking across multiple cameras

Alaya Cheikh, Faouzi; Saha, Sajib Kumar; Rudakova, Victoria; Wang, Peng
Journal article, Peer reviewed
Thumbnail
View/Open
FACheikh_SKSaha_VRudakova_PWang.pdf (436.4Kb)
URI
http://hdl.handle.net/11250/142570
Date
2012
Metadata
Show full item record
Collections
  • Institutt for informasjonssikkerhet og kommunikasjonsteknologi [1644]
Original version
Alaya Cheikh, F., Saha, S. K., Rudakova, V. &Wang, P. (2012) Multipeople tracking across multiple cameras. In: International Journal of New Computer Architectures and their Applications (IJNCAA), 2(1), p. 23-33.  
Abstract
Multi-target tracking (MTT) is an active and challenging research

topic. Many different approaches to MTT problem exist, yet there are still

few satisfactory methods of solving multi-target occlusion problem, which

often appears in multi-target tracking task. The application of multi cameras

in most existing researches for multi-target occlusion requires camera

calibration parameters in advance, which is not practical in the case of

outdoor video surveillance. Most of the proposed solutions for this problem

require camera calibration parameters that make them impractical for outdoor

video surveillance applications. To address this problem we propose in this

paper a probabilistic approach, the foremost consideration of which is to

reduce the dependency on camera calibration for multiple camera

collaboration. More robustness on target representation and object tracking

has been ensured by combining multiple cues such as border information of

the object with color histogram, while Gale-Shapley algorithm (GSA) has

been used for finding the stable matching between objects of two or more

camera views. Efficient tracking of object ensures proficient recognition of

target depicting parameters (i.e. apparent color, height and width information

of the object) as a consequence provides better camera collaboration. Initial

simulation results prove the validity of the proposed approach.
Description
This is the journal’s version of the article published in International Journal of New Computer Architectures and their Applications (IJNCAA): http://www.sdiwc.net/ijncaa/about-this-journal
Publisher
The Society of Digital Information and Wireless Communications
Journal
International Journal of New Computer Architectures and their Applications

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit