Zobrazeno 1 - 10 of 55 pro vyhledávání: '"Bruno Emile"'
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Akademický článek
Comparative Study of Contour Detection Evaluation Criteria Based on Dissimilarity Measures
Autor: Bruno Emile, Christophe Rosenberger, Hélène Laurent, Sébastien Chabrier
Publikováno v: EURASIP Journal on Image and Video Processing, Vol 2008 (2008)
We present in this article a comparative study of well-known supervised evaluation criteria that enable the quantification of the quality of contour detection algorithms. The tested criteria are often used or combined in the literature to create new
Externí odkaz: https://doaj.org/article/1b7b5dbb14854facb8d530a60c838fc7
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4
Deep features and One-class classification with unsupervised data for weed detection in UAV images
Autor: Raphael Canals, Adel Hafiane, Bruno Emile, M. Dian Bah
Publikováno v: 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA)
2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2019, Istanbul, Turkey. pp.1-5, ⟨10.1109/IPTA.2019.8936091⟩
IPTA
With the raise of the world population, increasing agricultural productivity has become a necessity for farmers. One way to reduce the cost of chemicals and environmental impact is to allocate the right doses of herbicide to the right place and at th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc58db6278a55baaf074f9592c9c7581
https://hal.archives-ouvertes.fr/hal-03299512
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5
Action Recognition from Low-Resolution Infrared Sensor for Indoor use: A Comparative Study between Deep Learning and Classical Approaches
Autor: Bruno Emile, Helene Laurent, Félix Polla
Publikováno v: MDM
In recent years, automatic action recognition has attracted a lot of attention in the field of computer vision. In this paper, action recognition in an indoor environment using low-resolution sensor is considered. In this environment, several studies
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::52dd180bcf0e1ad031950d23f88a8cac
https://doi.org/10.1109/mdm.2019.00-11
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6
Détection d'événements rares par modélisation de la signature du flot optique
Autor: Dieudonné ATREVI, Damien Vivet, Bruno Emile
Publikováno v: GRETSI
GRETSI, Aug 2019, Lille, France
HAL
International audience; Nous présentons dans cet article une nouvelle méthode de détection d'événements rares basée sur l'analyse des mouvements saillants dans une scène. La méthode vise à localiser automatiquement toutes les régions d'une
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4846bbb6fd76169fce064a2c9d23cd20
https://hal.archives-ouvertes.fr/hal-02277109
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7
Rare Events Detection and Localization In Crowded Scenes Based On Flow Signature
Autor: Bruno Emile, Dieudonné Fabrice Atrevi, Damien Vivet
Publikováno v: 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA)
2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2019, Istanbul, Turkey. pp.1-6, ⟨10.1109/IPTA.2019.8936073⟩
IPTA
We introduce in this paper a novel method for rare events detection based on the optical flow signature. It aims to automatically highlight regions in videos where rare events are occurring. This kind of method can be used as an important step for ma
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bed715628e1d32fc31640cc603f36977
https://oatao.univ-toulouse.fr/26956/
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8
Bayesian Generative Model Based on Color Histogram of Oriented Phase and Histogram of Oriented Optical Flow for Rare Event Detection in Crowded Scenes
Autor: Dieudonné Fabrice Atrevi, Bruno Emile, Damien Vivet
Publikováno v: ICASSP 2018-2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP 2018-2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, Canada. pp.3126-3130
ICASSP
In this paper, we propose a new method for rare event detection in crowded scenes using a combination of Color Histogram of Oriented Phases (CHOP) and Histogram of Oriented Optical Flow (HOOF). We propose to detect and filter spatio-temporal interest
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7681a20a8eb0c7de750631e3aba7563
https://oatao.univ-toulouse.fr/21298/
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9
A very simple framework for 3D human poses estimation using a single 2D image: Comparison of geometric moments descriptors
Autor: Florent Duculty, Bruno Emile, Damien Vivet, Dieudonné Fabrice Atrevi
Publikováno v: Pattern Recognition
Pattern Recognition, Elsevier, 2017, 71, pp.389-401. ⟨10.1016/j.patcog.2017.06.024⟩
In this paper, we propose a framework in order to automatically extract the 3D pose of an individual from a single silhouette image obtained with a classical low-cost camera without any depth information. By pose, we mean the configuration of human b
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a98ae3d5656a9d64a858f0f2ad022bfd
https://oatao.univ-toulouse.fr/18495/
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10
Intégration de la saillance visuelle dans la reconnaissance d’évènements rares
Autor: Dieudonné ATREVI, Damien Vivet, Bruno Emile
Publikováno v: Proceedings of the XXVIème Colloque GRETSI
GRETSI 2017
GRETSI 2017, Sep 2017, Juan-les-pins, France. pp. 1-4
HAL
National audience; This paper presents a new method for the detection of rares events in video. It is based on the visual saliency and on the detection and local description of points of interest. The point-of-interest filtering is carried out using
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b01ebb3563eec12fdcf533962a4253ac
https://oatao.univ-toulouse.fr/18496/
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