Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
Zur Ablage hinzufügen
 Lokale TagsFreigabegeschichteDetailsÜbersicht
  Onboard robust person detection and tracking for domestic service robots

Sanz, D., Ahmad, A., & Lima, P. (2015). Onboard robust person detection and tracking for domestic service robots. In L. Reis, A. Moreira, P. Lima, L. Montano, & V. Muñoz-Martinez (Eds.), Robot 2015: Second Iberian Robotics Conference (pp. 547-559). Cham, Switzerland: Springer.

Item is

 

einblenden: alle ausblenden: alle

Basisdaten

einblenden: ausblenden:
Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-43C3-D Versions-Permalink: https://hdl.handle.net/21.11116/0000-0000-7DAE-1
Genre: Konferenzbeitrag

Externe Referenzen

einblenden:
ausblenden:
externe Referenz:
http://link.springer.com/content/pdf/10.10072F978-3-319-27149-1_42.pdf (Verlagsversion)
Beschreibung:
-
OA-Status:

Urheber

einblenden:
ausblenden:
 Urheber:
Sanz, D, Autor
Ahmad, A1, 2, Autor           
Lima, P, Autor
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Domestic assistance for the elderly and impaired people is one of the biggest upcoming challenges of our society. Consequently, in-home care through domestic service robots is identified as one of the most important application area of robotics research. Assistive tasks may range from visitor reception at the door to catering for owner's small daily necessities within a house. Since most of these tasks require the robot to interact directly with humans, a predominant robot functionality is to detect and track humans in real time: either the owner of the robot or visitors at home or both. In this article we present a robust method for such a functionality that combines depth-based segmentation and visual detection. The robustness of our method lies in its capability to not only identify partially occluded humans (e.g., with only torso visible) but also to do so in varying lighting conditions. We thoroughly validate our method through extensive experiments on real robot datasets and comparisons with the ground truth. The datasets were collected on a home-like environment set up within the context of RoboCup@Home and RoCKIn@Home competitions.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2015-11
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1007/978-3-319-27149-1_42
BibTex Citekey: SanzAL2015
 Art des Abschluß: -

Veranstaltung

einblenden:
ausblenden:
Titel: Second Iberian Robotics Conference (ROBOT'2015)
Veranstaltungsort: Lisboa, Portugal
Start-/Enddatum: -

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Robot 2015: Second Iberian Robotics Conference
Genre der Quelle: Konferenzband
 Urheber:
Reis, L.P., Herausgeber
Moreira, A.P., Herausgeber
Lima, P.U., Herausgeber
Montano, L., Herausgeber
Muñoz-Martinez, V., Herausgeber
Affiliations:
-
Ort, Verlag, Ausgabe: Cham, Switzerland : Springer
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 547 - 559 Identifikator: ISBN: 978-3-319-27148-4

Quelle 2

einblenden:
ausblenden:
Titel: Advances in Intelligent Systems and Computing ; 418
Genre der Quelle: Reihe
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: -