Filters








15 Hits in 9.7 sec

3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks [article]

Pierre-Etienne Martin, Renaud Péteri, Julien Morlier
2020 arXiv   pre-print
Two stream, "twin" convolutional neural networks are used with 3D convolutions both on RGB data and optical flow. Actions are recognized by classification of temporal windows.  ...  In the context of the study of sportsmen performances, a corpus of the particular actions of table tennis strokes is considered.  ...  ACKNOWLEDGMENT The work has been supported by research Grants CRISP of New Aquitania Region.  ... 
arXiv:2012.05342v1 fatcat:y4mqrd3q4bgdlnp54hmmztkmum

3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks

Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Peteri, Julien Morlier
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
Two stream, "twin" convolutional neural networks are used with 3D convolutions both on RGB data and optical flow. Actions are recognized by classification of temporal windows.  ...  In the context of the study of sportsmen performances, a corpus of the particular actions of table tennis strokes is considered.  ...  ACKNOWLEDGMENT The work has been supported by research Grants CRISP of New Aquitania Region.  ... 
doi:10.1109/icpr48806.2021.9412742 fatcat:jwykfzvyyfhj5hy6hwphkkw3mi

Classification of Strokes in Table Tennis with a Three Stream Spatio-Temporal CNN for MediaEval 2020

Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Julien Morlier
2020 MediaEval Benchmarking Initiative for Multimedia Evaluation  
This work presents a method for classifying table tennis strokes using spatio-temporal convolutional neural networks.  ...  A three stream spatio-temporal convolutional neural network using combination of those modalities and 3D attention mechanisms is presented in order to perform classification.  ...  Model architecture The model was similar to the Twin Spatio-Temporal Convolutional Neural Network -TSTCNN with attention mechanisms presented in [15] .  ... 
dblp:conf/mediaeval/MartinBMPM20 fatcat:kl3tz5ag6ragdkeyysjpwv2qga

HCMUS at MediaEval 2020: Ensembles of Temporal Deep Neural Networks for Table Tennis Strokes Classification Task

Hai Nguyen-Truong, San Cao, N. A. Khoa Nguyen, Bang-Dang Pham, Hieu Dao, Minh-Quan Le, Hoang-Phuc Nguyen-Dinh, Hai-Dang Nguyen, Minh-Triet Tran
2020 MediaEval Benchmarking Initiative for Multimedia Evaluation  
21 types of table tennis strokes from video segments.  ...  The Sports Video Classification Tasks in the Multimedia Evaluation 2020 Challenge focuses on classifying different types of table tennis strokes in video segments.  ...  We would like to give a special thank to Mr. Huu-Quoc Hoang (Ho Chi Minh city University of Technology), who supports us in examining the dataset and gives us advices.  ... 
dblp:conf/mediaeval/Nguyen-TruongCN20 fatcat:w4dyczo7gzfcbip2mqjmvycxxa

3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition [article]

Pierre-Etienne Martin, J Benois-Pineau, R Péteri, A Zemmari, J Morlier
2022 arXiv   pre-print
3D convolutional networks is a good means to perform tasks such as video segmentation into coherent spatio-temporal chunks and classification of them with regard to a target taxonomy.  ...  In the chapter we are interested in the classification of continuous video takes with repeatable actions, such as strokes of table tennis.  ...  Fig. 3 3 Fig. 3 TSTCNN -Twin Spatio-Temporal Convolutional Neural Network architecture.  ... 
arXiv:2204.08460v1 fatcat:7ks2orf4m5ge5ggmafbeghbrsu

Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2021 [article]

Pierre-Etienne Martin
2021 arXiv   pre-print
The Sports Video task is part of the MediaEval 2021 benchmark. This task tackles fine-grained action detection and classification from videos. The focus is on recordings of table tennis games.  ...  Running since 2019, the task has offered a classification challenge from untrimmed video recorded in natural conditions with known temporal boundaries for each stroke.  ...  Fine-Grained Action Detection and Classification from Videos with Spatio-Temporal Convolutional Neural Networks. Application to Table Tennis.  ... 
arXiv:2112.11384v1 fatcat:5qidqoysgvfshoirktbcmlsedu

An overview of Human Action Recognition in sports based on Computer Vision

Kristina Host, Marina Ivašić-Kos
2022 Heliyon  
Human Action Recognition (HAR) is a challenging task used in sports such as volleyball, basketball, soccer, and tennis to detect players and recognize their actions and teams' activities during training  ...  As an action that can occur in the sports field refers to a set of physical movements performed by a player in order to complete a task using their body or interacting with objects or other persons, actions  ...  In [98] , Twin convolutional neural networks are used with 3D convolutions both on RGB data and Optical Flow, then, they introduced 3D attention modules and examined their impact on classification efficiency  ... 
doi:10.1016/j.heliyon.2022.e09633 pmid:35706961 pmcid:PMC9189896 fatcat:5o4x4ywsanfcfo6wvkoc2g6lym

Learning Neural Textual Representations for Citation Recommendation

Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
3D Attention Mechanism for Fine-Grained Classification of Table Tennis Strokes Using a Twin Spatio-Temporal Convolutional Neural Networks DAY 3 -Jan 14, 2021 Martins Camboim de Sá, Jáder; Luis  ...  Calandre, Jordan; Péteri, Renaud; Mascarilla, Laurent; Tremblais, Benoit 2613 Extraction and analysis of 3D kinematic parameters of Table Tennis ball from a single camera DAY 2 -Jan 13, 2021  ... 
doi:10.1109/icpr48806.2021.9412725 fatcat:3vge2tpd2zf7jcv5btcixnaikm

Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis [article]

Pierre-Etienne Martin
2021 pre-print
This paper proposes a fusion method of modalities extracted from video through a three-stream network with spatio-temporal and temporal convolutions for fine-grained action classification in sport.  ...  The goal is to detect and classify table tennis strokes in the videos, the first step of a bigger scheme aiming at giving feedback to the players for improving their performance.  ...  Model Architecture The architecture is inspired from the Twin Spatio-Temporal Convolutional Neural Network -T-STCNN with attention mechanisms presented in [18] which takes as input the OF and RGB values  ... 
doi:10.1145/3475722.3482793 arXiv:2109.14306v1 fatcat:ttwu552ct5hdzalvnamyl2pt2e

39th European Conference on Visual Perception (ECVP) 2016 Barcelona

2016 Perception  
We compared the images using L2 distance of fc7 feature vectors of AlexNet convolution network.  ...  Our data offer a novel fine-grained description of the visuospatial processes of children's engaged in road-traffic situations.  ...  Thus, at least in the case of colour, division of early neural resources between features within a single continuous dimension does not need to be mediated by spatial attention and depends on target-distractor  ... 
doi:10.1177/0301006616671273 fatcat:el2dmsuk6zd25pedijucuexl5m

Volume 2 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods held online May 18-22 2022 [article]

Andrew Spink, Jarosław Barski, Anne-Marie Brouwer, Gernot Riedel, Annesha Sil
2022 figshare.com  
Volume 2 of Measuring Behavior 2022, the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods held online May 18-22 2022.  ...  Acknowledgements The study was supported by BST grant no WP/2018/A/90. Acknowledgments The authors acknowledge Hope Tech™ for their generation of chainrings used in the study. Acknowledgement This  ...  This work was supported by the Bavarian Ministry of Economic Affairs, Regional Development and Energy through the Center for Analytics -Data -Applications (ADA-Center) within the framework of "BAYERN DIGITAL  ... 
doi:10.6084/m9.figshare.20066849.v1 fatcat:zfef2d4x4fgsxibcplwkpae4yq

Volume 2 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods held online May 18-22 2022 [article]

Andrew Spink, Jarosław Barski, Anne-Marie Brouwer, Gernot Riedel, Annesha Sil
2022 figshare.com  
Volume 2 of Measuring Behavior 2022, the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods held online May 18-22 2022.  ...  Acknowledgements The study was supported by BST grant no WP/2018/A/90. Acknowledgments The authors acknowledge Hope Tech™ for their generation of chainrings used in the study. Acknowledgement This  ...  This work was supported by the Bavarian Ministry of Economic Affairs, Regional Development and Energy through the Center for Analytics -Data -Applications (ADA-Center) within the framework of "BAYERN DIGITAL  ... 
doi:10.6084/m9.figshare.20066849.v2 fatcat:f7ndcnjqlfbr3ptetfjij4hehm

Investigating the buildup of precedence effect using reflection masking

Jess Hartcher‐O'Brien, M. Buchholz, M. Buchholz
2006 Journal of the Acoustical Society of America  
Furthermore, we devised some methods of generating reverberation in outdoor space using the forest reverberation mechanism.  ...  surface was used for the rear wall.  ...  Attenuation coefficient was increased linearly during plasma coagulation for both volunteers and stroke patients, but its temporal slopes were much smaller for stroke patients.  ... 
doi:10.1121/1.4787437 fatcat:4h2rmntypzabhiivz7ddvu5uai

Temporal processes involved in simultaneous reflection masking

Joerg M. Buchholz
2006 Journal of the Acoustical Society of America  
Attenuation coefficient was increased linearly during plasma coagulation for both volunteers and stroke patients, but its temporal slopes were much smaller for stroke patients.  ...  A special twin-vacuum-chamber is used for laminating the polyurea layers and the aluminum electrodes alternately.  ...  We have previously developed an acoustic recognition capability using a novel, biologically based Dynamic Synapse Neural Network ͑DSNN͒ technology.  ... 
doi:10.1121/1.4787438 fatcat:paik6sldxff6fkga6wm7nmgp7m

Predictors of auditory performance in hearing‐aid users: The role of cognitive function and auditory lifestyle

Martin D. Vestergaard
2006 Journal of the Acoustical Society of America  
Attenuation coefficient was increased linearly during plasma coagulation for both volunteers and stroke patients, but its temporal slopes were much smaller for stroke patients.  ...  A special twin-vacuum-chamber is used for laminating the polyurea layers and the aluminum electrodes alternately.  ...  We have previously developed an acoustic recognition capability using a novel, biologically based Dynamic Synapse Neural Network ͑DSNN͒ technology.  ... 
doi:10.1121/1.4787675 fatcat:niry4qemhvdzvpeivahfcgd53a