HD: efficient hand detection and tracking

C. Rouge, S. Shaikh, J.I. Olszewska

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Automated hand detection is useful for applications requiring reliable hand posture and hand gesture processing. Such applications include human-computer/human-robot interfaces for rehabilitation, serious games, or non-invasive medical diagnosis. Hence, in this paper, we focus on the design and development of a robust and fast hand detection and tracking (HD) system. The design of our HD system involved the study of the human skin colour and people's foreground properties, in order to merge these information for an efficient hand detection and tracking. Experiments have been carried out in real-world environment and have demonstrated the excellent performance of our HD system.
Original languageEnglish
Title of host publicationProceedings of the Federated Conference on Computer Science and Information Systems
PublisherIEEE
Pages291-297
Number of pages7
ISBN (Electronic)9788360810903
ISBN (Print)9781509000463
Publication statusPublished - 7 Nov 2016
Externally publishedYes
Event2016 Federated Conference on Computer Science and Information Systems (FedCSIS) - Gdansk, Poland
Duration: 11 Sep 201614 Sep 2016
https://fedcsis.org/2016/

Publication series

NameACSIS
PublisherIEEE
Volume8
ISSN (Electronic)2300-5963

Conference

Conference2016 Federated Conference on Computer Science and Information Systems (FedCSIS)
Abbreviated titleFedCSIS 2016
CountryPoland
CityGdansk
Period11/09/1614/09/16
Internet address

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Keywords

  • Image color analysis
  • High definition video
  • Skin
  • Tracking
  • Lighting
  • Cameras
  • Computational modeling

Cite this

Rouge, C., Shaikh, S., & Olszewska, J. I. (2016). HD: efficient hand detection and tracking. In Proceedings of the Federated Conference on Computer Science and Information Systems (pp. 291-297). (ACSIS; Vol. 8). IEEE.