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Visual-Based Eye Contact Detection in Multi-Person Interactions

Qodseya, Mahmoud and Jeveme Panta, Franck and Sèdes, Florence Visual-Based Eye Contact Detection in Multi-Person Interactions. (2019) In: International Conference on Content-Based Multimedia Indexing (CBMI 2019), 4 September 2019 - 6 September 2019 (Dublin, Ireland).

(Document in English)

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Official URL: https://doi.org/10.1109/CBMI.2019.8877471


Visual non-verbal behavior analysis (VNBA) methods mainly depend on extracting an important and essential social cue, called eye contact, for performing a wide range of analysis such as dominant person detection. Besides the major need for an automated eye-contact detection method, existing state-of-the-art methods require intrusive devices for detecting any contacts at the eye-level. Also, such methods are completely dependent on supervised learning approaches to produce eye-contact classification models, raising the need for ground truth datasets. To overcome the limitations of existing techniques, we propose a novel geometrical method to detect eye contact in natural multi-person interactions without the need for any intrusive eye-tracking device. We have experimented our method on 10 social videos, each 20 minutes long. Experiments demonstrate highly competitive efficiency with regards to classification performance, compared to the classical existing supervised eye contact detection methods.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org The original PDF of the article can be found at: https://ieeexplore.ieee.org/document/8877471 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-02930110
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:17 Jul 2020 07:00

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