• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Marker-free indoor localization and tracking of multiple users in smart environments using a camera-based approach
 
  • Details
  • Full
Options
2013
Conference Paper
Title

Marker-free indoor localization and tracking of multiple users in smart environments using a camera-based approach

Abstract
In recent years, various indoor tracking and localization approaches for usage in conjunction with Pervasive Computing systems have been proposed. In a nutshell, three categories of localization methods can be identified, namely active marker-based solutions, passive marker-based solutions, and marker-free solutions. Both active and passive marker-based solutions require a person to carry some type of tagging item in order to function, which, for a multitude of reasons, makes them less favorable than marker-free solutions, which are capable of localizing persons without additional accessories. In this work, we present a marker-free, camera-based approach for use in typical indoor environments that has been designed for reliability and cost-effectiveness. We were able to successfully evaluate the system with two persons and initial tests promise the potential to increase the number of users that can be simultaneously tracked even further.
Author(s)
Braun, Andreas
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Dutz, Tim
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Alekseew, Michael
TU Darmstadt
Schillinger, Philipp
TU Darmstadt
Marinc, Alexander
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
Distributed, ambient, and pervasive interactions. First international conference, DAPI 2013  
Conference
International Conference on Human-Computer Interaction (HCI International) 2013  
International Conference on Distributed, Ambient and Pervasive Interactions (DAPI) 2013  
DOI
10.1007/978-3-642-39351-8_38
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • computer vision

  • indoor localization systems

  • ubiquitous computing

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024