On the improvement of human action recognition from depth map sequences using Space-Time Occupancy Patterns

Keywords

Occupancy grid mapping, Artificial intelligence, Pattern recognition (psychology), Curse of dimensionality, Representation (politics)

References

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• EigenJoints-based action recognition using Naïve-Bayes-Nearest-NeighborXiaodong Yang, Yingli Tian — 2012
• A survey of vision-based methods for action representation, segmentation and recognitionDaniel Weinland, Rémi Ronfard, Edmond Boyer — 2011
• Hand gesture recognition using depth dataXia Liu, Kikuo Fujimura — 2004
• Hierarchical spatio-temporal context modeling for action recognitionJu Sun, Xiao Wu, Shuicheng Yan — 2009
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• Actions sketch: a novel action representationAlper Yılmaz, Mubarak Shah — 2005
• Real-Time Gesture Recognition from Depth Data through Key Poses Learning and Decision ForestsLeandro Miranda, Thales Vieira, Dimas Martínez — 2012
• Action and Gait Recognition From Recovered 3-D Human JointsJunxia Gu, Xiaoqing Ding, Shengjin Wang — 2010
• Expandable Data-Driven Graphical Modeling of Human Actions Based on Salient PosturesWanqing Li, Zhengyou Zhang, Zicheng Liu — 2008
• Action recognition based on a bag of 3D pointsWanqing Li, Zhengyou Zhang, Zicheng Liu — 2010
• Sparse Spatial Coding: A novel approach for efficient and accurate object recognitionGabriel L. Oliveira, Erickson R. Nascimento, Antônio Wilson Vieira — 2012
• Actions as Space-Time ShapesLena Gorelick, Miri Blank, Eli Shechtman — 2007
• Video-rate capture of dynamic face shape and appearanceI.A. Ypsilos, Adrian Hilton, Simon Rowe — 2004

Cited by

• Advanced Concepts for Intelligent Vision SystemsJacques Blanc-Talon, Scheunders, Paul, Popescu, Dan — 2005
• Human Action Recognition Based on DMMs, HOGs and Contourlet TransformMohammad Farhad Bulbul, Yunsheng Jiang, Jinwen Ma — 2015
• A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D datasetJosé Ramón Padilla López, Alexandros André Chaaraoui, Francisco Flórez‐Revuelta — 2014
• Action Recognition from Depth Sequences Using Depth Motion Maps-Based Local Binary PatternsChen Chen, Roozbeh Jafari, Nasser Kehtarnavaz — 2015
• Skeletal Quads: Human Action Recognition Using Joint QuadruplesGeorgios Evangelidis, Gurkirt Singh, Radu Horaud — 2014
• Review on Vision based Human Activity AnalysisSreeja SankaranNampoothiri, Anoop B. K — 2014
• Simplified Training for Gesture RecognitionRomain Faugeroux, Thales Vieira, Dimas Martínez — 2014
• VALIDITY AND RELIABILITY OF THE MICROSOFT KINECT TO OBTAIN THE EXECUTION TIME OF THE TAEKWONDO'S FRONTAL KICKCristiano Arruda Gomes Flôr, Amanda Piaia Silvatti, Hans Joachim Karl Menzl — 2016
• Recent trends in gesture recognition: how depth data has improved classical approachesTiziana D’Orazio, Roberto Marani, Vito Renò — 2016
• High performance moves recognition and sequence segmentation based on key poses filteringCláudio Márcio de Souza Vicente, Erickson R. Nascimento, Luiz Eduardo C. Emery — 2016
• Action recognition using completed local binary patterns and multiple-class boosting classifierYun Yang, Baochang Zhang, Linlin Yang — 2015
• Robust object representation by boosting-like deep learning architectureLei Wang, Baochang Zhang, Jungong Han — 2016
• Improving Action Recognition Using Collaborative Representation of Local Depth Map FeatureChengwu Liang, Enqing Chen, Lin Qi — 2016
• Motion segment decomposition of RGB-D sequences for human behavior understandingMaxime Devanne, Stefano Berretti, Pietro Pala — 2017
• Efficient action recognition from compressed depth mapsJie Miao, Xiaoyi Jia, Reji Mathew — 2016
• Online human moves recognition through discriminative key poses and speed-aware action graphsThales Vieira, Romain Faugeroux, Dimas Martínez — 2017
• Depth-based action recognition using multiscale sub-actions depth motion maps and local auto-correlation of space-time gradientsChengwu Liang, Lin Qi, Enqing Chen — 2016
• Combining 3D joints Moving Trend and Geometry property for human action recognitionBangli Liu, Hui Yu, Xiaolong Zhou — 2016
• Efficient Human Motion Retrieval via Temporal Adjacent Bag of Words and Discriminative Neighborhood Preserving Dictionary LearningXin Liu, Gaofeng He, Shu‐Juan Peng — 2017
• Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting ClassifierBaochang Zhang, Yun Yang, Chen Chen — 2017

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