Rémi Boutteau
5
Documents
Identifiants chercheurs
- boutteau
- 0000-0003-1078-5043
- Google Scholar : https://scholar.google.fr/citations?user=U-SrcPkAAAAJ&hl=fr
- IdRef : 150614314
Présentation
```
<strong>Rémi Boutteau</strong> received his engineering degree from the <a href="http://imt-lille-douai.fr/en/" target="_blank">IMT Lille Douai</a> and his MSc degree in Computer Science from the <a href="https://www.univ-lille.fr/home/" target="_blank">University of Lille</a> in 2006. In 2010, he received his PhD degree from the <a href="http://rouenuniversity.univ-rouen.fr/" target="_blank">University of Rouen Normandy</a> for works related to Computer Vision (catadioptric sensors, 3D reconstruction, Structure-from-Motion). From 2009 to 2020, he was an Associate Professor at the <a href="https://www.esigelec.fr/en" target="_blank">ESIGELEC </a> engineering school and a researcher in the <a href="https://www.esigelec.fr/fr/irseem" target="_blank">IRSEEM</a> research institute. In 2018, he obtained the HDR (French Habilitation to supervise research) from the <a href="http://rouenuniversity.univ-rouen.fr/" target="_blank">University of Rouen Normandy</a> for his research on autonomous vehicles localization. Since 2020, he is a Full Professor at <a href="http://rouenuniversity.univ-rouen.fr/" target="_blank">University of Rouen Normandy</a> within the <a href="https://www.litislab.fr/equipe/index/sti" target="_blank">STI team</a> (Intelligent Transportation System) at the <a href="https://www.litislab.fr/accueil" target="_blank">LITIS Lab</a> (IT Laboratory, Information Processing and Systems). His research interests are perception, localization and computer vision dedicated to autonomous vehicles.
```
Publications
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 2
- 2
- 1
- 5
- 5
- 5
- 4
- 1
An extension of kernel learning methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action RecognitionComputer Vision and Image Understanding, 2018, 175, pp.32-43. ⟨10.1016/j.cviu.2018.09.004⟩
Article dans une revue
hal-01957644v1
|
|
|
Kinematic Spline Curves: A temporal invariant descriptor for fast action recognitionImage and Vision Computing, 2018, 77, pp.60-71. ⟨10.1016/j.imavis.2018.06.004⟩
Article dans une revue
hal-01860250v1
|
|
A fast and accurate motion descriptor for human action recognition applications2016 23rd International Conference on Pattern Recognition (ICPR), Dec 2016, Cancun, Mexico. ⟨10.1109/ICPR.2016.7899753⟩
Communication dans un congrès
hal-01712327v1
|
|
Vers une reconnaissance en ligne d'actions à partir de caméras RGB-DReconnaissance de Formes et Intelligence Artificielle, Jun 2016, Clermont Ferrand, France
Communication dans un congrès
hal-01713922v1
|
|
3D real-time human action recognition using a spline interpolation approach2015 International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2015, Orleans, France. ⟨10.1109/IPTA.2015.7367097⟩
Communication dans un congrès
hal-01710419v1
|