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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.
Keywords :
industrial context
data sets
crowded application context
tramway
person detection algorithms
Lyon
computer vision applications
face detection algorithms
person detection
smart transportation
crowded scene
Feature extraction
Detectors
Face
Cameras
Face detection
Prediction algorithms
face recognition
image motion analysis
video surveillance
object detection
numerous face
object detection algorithms
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
Contributeur : Imvia - Université de Bourgogne <>
Soumis le : lundi 27 mai 2019 - 13:32:10
Dernière modification le : jeudi 5 mars 2020 - 17:52:53