Jordan Calandre

Jordan Calandre
La Rochelle Université · Laboratoire MIA (Mathématiques, Image et Applications)

Master of Engineering

About

7
Publications
1,202
Reads
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16
Citations
Additional affiliations
September 2017 - September 2018
CGI
Position
  • Master's Student
Education
October 2018 - February 2022
September 2016 - September 2018
La Rochelle Université
Field of study
  • Computer Science
September 2013 - September 2016
La Rochelle Université
Field of study
  • Computer Science

Publications

Publications (7)
Preprint
Sports video analysis is a prevalent research topic due to the variety of application areas, ranging from multimedia intelligent devices with user-tailored digests up to analysis of athletes' performance. The Sports Video task is part of the MediaEval 2021 benchmark. This task tackles fine-grained action detection and classification from videos. Th...
Conference Paper
Full-text available
The context of this research is the use of computer vision to assess the quality of sport gestures in non-intrusive conditions, i.e. without any body-worn sensors. This paper addresses the estimation of Table Tennis ball kinematic parameters from single-view videos. These parameters are important for analyzing effects given on the ball by the playe...
Preprint
Vision is the first indicator for coaches to assess the quality of a sport gesture. However, gesture analysis using computer vision is often restricted to laboratory experiments, far from the real conditions in which athletes train on a daily basis. In this perspective, we introduce 3D ball trajectories analysis using a single camera with very few...
Conference Paper
Full-text available
Vision is the first indicator for coaches to assess the quality of a sport gesture. However, gesture analysis using computer vision is often restricted to laboratory experiments, far from the real conditions in which athletes train on a daily basis. In this perspective, we introduce 3D ball trajectories analysis using a single camera with very few...
Conference Paper
Full-text available
In this working note, results for the MediaEval 2020 Sports Video Annotation "Detection of Strokes in Table Tennis" task are presented. Fine-grained action classification remains a complex task due to the low variance between two strokes, especially in natural conditions. Our proposal is therefore based on motion, which is the most obvious represen...
Conference Paper
Full-text available
Dans le domaine sportif, l’analyse visuelle est naturellement le premier indicateur d’un entraîneur pour qualifier la qualité d’un mouvement. En vision par ordinateur, cette analyse du geste est souvent cantonnée à des expériences en laboratoire, loin des conditions réelles dans lesquelles les sportifs s’ entraînent au quotidien. Dans le cadre géné...
Conference Paper
Full-text available
Over the past few years, Action Recognition task has drawn considerable interests, leading to intensive researches. This is mainly due to the variety of related applications, from autonomous car to human behavior analysis. Up to now, most of researches aim to identify various sport actions such as UCF-101 dataset, but, due to the exponential number...

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