Human actions recognition from streamed Motion Capture

Keywords

Histogram, Computer science, Bhattacharyya distance, Artificial intelligence, Animation

References

• Real-time human motion analysis by image skeletonizationHironobu Fujiyoshi, Alan J. Lipton — 1998
• Real-time human pose recognition in parts from single depth imagesJamie Shotton, Toby Sharp, Alex Kipman — 2011
• Discriminative human action recognition in the learned hierarchical manifold spaceLei Han, Xinxiao Wu, Wei Liang — 2010
• View invariants for human action recognitionVasu Parameswaran, Rama Chellappa — 2003
• Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex ActivitiesAngela Yao, Jüergen Gall, Luc Van Gool — 2011
• Does Human Action Recognition Benefit from Pose Estimation?Angela Yao, Jüergen Gall, Gabriele Fanelli — 2011
• Dynamic programming algorithm optimization for spoken word recognitionHiroaki Sakoe, Seibi Chiba — 1978
• Human activity prediction: Early recognition of ongoing activities from streaming videosMichael S. Ryoo — 2011
• Single View Human Action Recognition using Key Pose Matching and Viterbi Path SearchingFengjun Lv, Ramakant Nevatia — 2007
• The Recognition of Human Movement Using Temporal TemplatesAaron Bobick, James W. Davis — 2001
• Documentation Mocap Database HDM05Meinard Müller, Tido Röder, Michael Clausen — 2007
• On a measure of divergence between two statistical populations defined by their probability distributionsAyan Bhattacharyya — 1943
• Real-time human pose recognition in parts from single depth imagesJamie Shotton, Andrew Fitzgibbon, Mat Cook — 2011
• Human Motion Recognition Based on Hidden Markov ModelsJing Xiong, Zhijing Liu — 2007
• Eurographics / ACM SIGGRAPH Symposium on Computer Animation (2009) E. Grinspun and J. Hodgins (Editors) Efficient and Robust Annotation of Motion Capture Data

Cited by

• Reconnaissance d'actions en temps réel à partir d'exemples. (Real time actions recognition from examplars)Mathieu Barnachon — 2013
• Motion Capture Behavior Recognition via Neighborhood Preserving Dictionary LearningGaofeng He, Shu‐Juan Peng, Xin Liu — 2015
• 3D human action recognition and motion analysis using selective representationsDaniel Leightley — 2015
• The CIRDO Corpus: Comprehensive Audio/Video Database of Domestic Falls of Elderly PeopleMichel Vacher, Saïda Bouakaz, Marc-Éric Bobillier Chaumon — 2016
• Efficient Human Motion Retrieval via Temporal Adjacent Bag of Words and Discriminative Neighborhood Preserving Dictionary LearningXin Liu, Gaofeng He, Shu‐Juan Peng — 2017
• Efficient human motion capture data annotation via multi-view spatiotemporal feature fusionXin Liu, Meng Xu, Shu‐Juan Peng — 2017
• 3D sign language recognition using spatio temporal graph kernelsD. Anil Kumar, Ananth Sastry, P. V. V. Kishore — 2018
• S3DRGF: Spatial 3-D Relational Geometric Features for 3-D Sign Language Representation and RecognitionD. Anil Kumar, Ananth Sastry, P. V. V. Kishore — 2019
• Trajectory-based Human Action RecognitionPejman Habashi — 2018
• 3D sign language recognition with joint distance and angular coded color topographical descriptor on a 2 - stream CNNE. Kiran Kumar, P. V. V. Kishore, M. Teja Kiran Kumar — 2020
• Investigation of 3-D Relational Geometric Features for Kernel-Based 3-D Sign Language RecognitionP. Sasi Kiran, D. Anil Kumar, P. V. V. Kishore — 2019
• Towards a deep human activity recognition approach based on video to image transformation with skeleton dataAhmed Snoun, Nozha Jlidi, Tahani Bouchrika — 2021
• The Bag of Micro-Movements for Human Activity RecognitionPejman Habashi, B. Boufama, Imran Ahmad — 2015
• 2012 21st International Conference on Pattern Recognition

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