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Communication dans un congrès

Comparative Study of Face and Person Detection algorithms: Case Study of tramway in Lyon

Abstract : Moving object detection is one of the most important and challenging task in video surveillance and computer vision applications. Applying it in an industrial context requires taking into account parameters that are not necessarily considered in a theoretical context. We present here a brief review of numerous face and object detection algorithms and techniques that could be applied in our crowded application context. The chosen solution was embedded into the tramway.
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02140525
Contributeur : Imvia - Université de Bourgogne <>
Soumis le : lundi 27 mai 2019 - 13:32:10
Dernière modification le : jeudi 5 mars 2020 - 17:52:53

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Hatem Belhassen, El-Bay Bourennane, Fresse, Virginie. Comparative Study of Face and Person Detection algorithms: Case Study of tramway in Lyon. 3rd International Conference on Advanced Systems and Emergent Technologies (IC_ASET'2019) 19-22 March 2019, Hammamet-Tunisia, Association des Spécialistes Electriciens de Tunisie, Mar 2019, Hammamet, Tunisia. ⟨10.1109/ASET.2019.8871003⟩. ⟨hal-02140525⟩

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