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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 :
object detection algorithms
object detection
numerous face
crowded application context
image motion analysis
face recognition
video surveillance
tramway
person detection algorithms
Cameras
Prediction algorithms
Feature extraction
Detectors
Face
Lyon
computer vision applications
face detection algorithms
Face detection
person detection
smart transportation
crowded scene
data sets
industrial context
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02140525
Contributeur : IMVIA - université de Bourgogne Connectez-vous pour contacter le contributeur
Soumis le : lundi 27 mai 2019 - 13:32:10
Dernière modification le : jeudi 4 août 2022 - 17:07:33
Contributeur : IMVIA - université de Bourgogne Connectez-vous pour contacter le contributeur
Soumis le : lundi 27 mai 2019 - 13:32:10
Dernière modification le : jeudi 4 août 2022 - 17:07:33