HD: efficient hand detection and tracking

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

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

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)978-8-3608-1090-3
ISBN (Print)978-1-5090-0046-3
Publication statusPublished - 2016
Externally publishedYes

Publication series

NameACSIS
PublisherIEEE
Volume8
ISSN (Electronic)2300-5963

Fingerprint

Patient rehabilitation
Interfaces (computer)
Skin
Robots
Color
Processing
Experiments
Serious games

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

HD : efficient hand detection and tracking. / Rouge, C.; Shaikh, S.; Olszewska, J.I.

Proceedings of the Federated Conference on Computer Science and Information Systems. IEEE, 2016. p. 291-297 (ACSIS; Vol. 8).

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

TY - GEN

T1 - HD

T2 - efficient hand detection and tracking

AU - Rouge, C.

AU - Shaikh, S.

AU - Olszewska, J.I.

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N2 - 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.

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KW - Image color analysis

KW - High definition video

KW - Skin

KW - Tracking

KW - Lighting

KW - Cameras

KW - Computational modeling

M3 - Conference contribution

SN - 978-1-5090-0046-3

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BT - Proceedings of the Federated Conference on Computer Science and Information Systems

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Rouge C, Shaikh S, Olszewska JI. HD: efficient hand detection and tracking. In Proceedings of the Federated Conference on Computer Science and Information Systems. IEEE. 2016. p. 291-297. (ACSIS).