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  Towards automatic gesture stroke detection

Gebre, B. G., Wittenburg, P., & Lenkiewicz, P. (2012). Towards automatic gesture stroke detection. In N. Calzolari (Ed.), Proceedings of LREC 2012: 8th International Conference on Language Resources and Evaluation (pp. 231-235). European Language Resources Association.

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 Creators:
Gebre, Binyam Gebrekidan1, Author           
Wittenburg, Peter1, Author           
Lenkiewicz, Przemyslaw1, Author           
Affiliations:
1The Language Archive, MPI for Psycholinguistics, Max Planck Society, ou_530892              

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 Abstract: Automatic annotation of gesture strokes is important for many gesture and sign language researchers. The unpredictable diversity of human gestures and video recording conditions require that we adopt a more adaptive case-by-case annotation model. In this paper, we present a work-in progress annotation model that allows a user to a) track hands/face b) extract features c) distinguish strokes from non-strokes. The hands/face tracking is done with color matching algorithms and is initialized by the user. The initialization process is supported with immediate visual feedback. Sliders are also provided to support a user-friendly adjustment of skin color ranges. After successful initialization, features related to positions, orientations and speeds of tracked hands/face are extracted using unique identifiable features (corners) from a window of frames and are used for training a learning algorithm. Our preliminary results for stroke detection under non-ideal video conditions are promising and show the potential applicability of our methodology.

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Language(s): eng - English
 Dates: 20122012
 Publication Status: Published online
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Title: LREC 2012: 8th International Conference on Language Resources and Evaluation
Place of Event: Istanbul, Turkey
Start-/End Date: 2012-05-21 - 2012-05-27

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Title: Proceedings of LREC 2012: 8th International Conference on Language Resources and Evaluation
Source Genre: Proceedings
 Creator(s):
Calzolari, Nicoletta, Editor
Affiliations:
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Publ. Info: European Language Resources Association
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 231 - 235 Identifier: URN: http://www.lrec-conf.org/proceedings/lrec2012/index.html