A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D dataset

Keywords

Action (physics), Computer science, Action recognition, Artificial intelligence, Machine learning

References

• Human Action Recognition with Depth CamerasJiang Wang, Zicheng Liu, Ying Wu — 2014
• A real time system for dynamic hand gesture recognition with a depth sensorAlexey Kurakin, Liu, Zicheng, Zhang, Zhengyou — 2012
• Deep Convolutional Neural Networks for Action Recognition Using Depth Map SequencesPichao Wang, Wanqing Li, Zhimin Gao — 2015
• Iterative temporal learning and prediction with the sparse online echo state gaussian processHarold Soh, Yiannis Demiris — 2012
• Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action RecognitionSherif Azary, Andreas Savakis — 2013
• Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognitionFerda Ofli, Rizwan Chaudhry, Gregorij Kurillo — 2012
• Effective approaches in human action recognitionXue Li, Quan Z. Sheng, Chaoyi Pang — 2013
• Fast Exact Hyper-graph Matching with Dynamic Programming for Spatio-temporal DataOya Çeliktutan, Christian Wolf, Bülent Sankur — 2014
• The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and DetectionMihai Zanfir, Marius Leordeanu, Cristian Sminchisescu — 2013
• Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action RecognitionVinay Venkataraman, Pavan Turaga, Nicole Lehrer — 2013
• On the improvement of human action recognition from depth map sequences using Space-Time Occupancy PatternsAntônio Wilson Vieira, Erickson R. Nascimento, Gabriel L. Oliveira — 2014
• Action recognition on motion capture data using a dynemes and forward differences representationIoannis Kapsouras, Nikos Nikolaidis — 2014
• Instructing people for training gestural interactive systemsSimon Fothergill, Helena M. Mentis, Pushmeet Kohli — 2012
• Evolutionary joint selection to improve human action recognition with RGB-D devicesAlexandros André Chaaraoui, José Ramón Padilla-López, Pau Climent-Pérez — 2014
• Body Surface Context: A New Robust Feature for Action Recognition From Depth VideosYan Song, Jinhui Tang, Fan Liu — 2014
• Action Recognition from Depth Sequences Using Depth Motion Maps-Based Local Binary PatternsChen Chen, Roozbeh Jafari, Nasser Kehtarnavaz — 2015
• Online gesture recognition from pose kernel learning and decision forestsLeandro Miranda, Thales Vieira, Dimas Martínez — 2014
• Joint Angles Similarities and HOG2 for Action RecognitionEshed Ohn-Bar, Mohan M. Trivedi — 2013
• Real time action recognition using histograms of depth gradients and random decision forestsHossein Rahmani, Arif Mahmood, Du Q. Huynh — 2014
• G3D: A gaming action dataset and real time action recognition evaluation frameworkVictoria Bloom, Dimitrios Makris, Vasileios Argyriou — 2012

Cited by

• Stats-Calculus Pose Descriptor Feeding A Discrete HMM Low-latency Detection and Recognition System For 3D Skeletal ActionsRofael Emil Fayez Behnam — 2015
• Hierarchical recurrent neural network for skeleton based action recognitionY. Du, Wei Wang, Liang Wang — 2015
• Substitutive skeleton fusion for human action recognitionNur Azis, Ho‐Jin Choi, Youssef Iraqi — 2015
• Hankelet-based dynamical systems modeling for 3D action recognitionLiliana Lo Presti, Marco La Cascia, Stan Sclaroff — 2015
• 3D skeleton-based human action classification: A surveyLiliana Lo Presti, Marco La Cascia — 2016
• Depth Context: a new descriptor for human activity recognition by using sole depth sequencesMengyuan Liu, Hong Liu — 2016
• Space-Time Representation of People Based on 3D Skeletal Data: A ReviewFei Han, Brian Reily, William Hoff — 2016
• Human action recognition using multi-layer codebooks of key poses and atomic motionsGuangming Zhu, Liang Zhang, Peiyi Shen — 2016
• A Human Activity Recognition System Using Skeleton Data from RGBD SensorsEnea Cippitelli, Samuele Gasparrini, Ennio Gambi — 2016
• Representation Learning of Temporal Dynamics for Skeleton-Based Action RecognitionYong Du, Yun Fu, Liang Wang — 2016
• Gesture and Action Recognition by Evolved Dynamic SubgesturesVíctor Ponce-López, Hugo Jair Escalante, Sérgio Escalera — 2015
• Mining 3D Key-Pose-Motifs for Action RecognitionChunyu Wang, Yizhou Wang, Alan Yuille — 2016
• Recognizing Actions in 3D Using Action-Snippets and Activated SimplicesChunyu Wang, John J. Flynn, Yizhou Wang — 2016
• Improving Action Recognition Using Collaborative Representation of Local Depth Map FeatureChengwu Liang, Enqing Chen, Lin Qi — 2016
• Evolutionary Bags of Space-Time Features for Human AnalysisVíctor Ponce-López — 2016
• Human action recognition via skeletal and depth based feature fusionMeng Li, Howard Leung, Hubert P. H. Shum — 2016
• Online human moves recognition through discriminative key poses and speed-aware action graphsThales Vieira, Romain Faugeroux, Dimas Martínez — 2017
• 3D Action Recognition Using Multiscale Energy-Based Global Ternary ImageMengyuan Liu, Hong Liu, Chen Chen — 2018
• Improving action recognition by selection of featuresCarolina Solís Maldonado, Homero Vladimir Ríos-Figueroa, Antonio Marı́n-Hernández — 2016
• Learning Discriminative Activated Simplices for Action RecognitionChenxu Luo, Chang Ma, Chunyu Wang — 2017

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