17.1.3.6.15 Human Motion Capture, Dance Activities

Chapter Contents (Back)
Activity Recognition. Motion Capture. Human Motion. Dance.
See also Human Motion Capture, Joint Information, Special Activities.

Edinburgh Ceilidh Overhead Video Data,
Dataset, Dance.
WWW Link. 1706
16 ground-truthed dances viewed from overhead, where the 10 dancers follow a structured dance pattern (2 different dances). The dances are in the Scottish Ceilidh style (somewhat similar to American Square Dancing).

Hachimura, K., Ohno, Y.,
A System for the Representation of Human Body Movement from Dance Scores,
PRL(5), 1987, pp. 1-9. BibRef 8700

Shechtman, E.[Eli], Irani, M.[Michal],
Space-Time Behavior-Based Correlation - OR - How to Tell If Two Underlying Motion Fields Are Similar Without Computing Them?,
PAMI(29), No. 11, November 2007, pp. 2045-2056.
IEEE DOI 0711
BibRef
Earlier:
Space-Time Behavior Based Correlation,
CVPR05(I: 405-412).
IEEE DOI 0507
Do the space-time patterns arise from the same motion. Detect complex patterns, dance, running water, etc. BibRef

Gorelick, L.[Lena], Blank, M.[Moshe], Shechtman, E.[Eli], Irani, M.[Michal], Basri, R.[Ronen],
Actions as Space-Time Shapes,
PAMI(29), No. 12, December 2007, pp. 2247-2253.
IEEE DOI 0711
Dataset, Actions.
HTML Version. BibRef
Earlier: A2, A1, A3, A4, A5: ICCV05(II: 1395-1402).
IEEE DOI Award, Helmholtz Prize. 0510
Human action as 3-D shapes induced by silhouettes in the spacetime volume. BibRef

Perera, M.[Manoj], Shiratori, T.[Takaaki], Kudoh, S.[Shunsuke], Nakazawa, A.[Atsushi], Ikeuchi, K.[Katsushi],
Task Recognition and Person Identification in Cyclic Dance Sequences with Multi Factor Tensor Analysis,
IEICE(E91-D), No. 5, May 2008, pp. 1531-1542.
DOI Link 0805
BibRef

Guo, F.[Feng], Qian, G.[Gang],
Monocular 3D Tracking of Articulated Human Motion in Silhouette and Pose Manifolds,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
BibRef
Earlier:
3D Human Motion Tracking using Manifold Learning,
ICIP07(I: 357-360).
IEEE DOI 0709
BibRef
Earlier:
Human Pose Inference from Stereo Cameras,
WACV07(37-37).
IEEE DOI 0702
BibRef
Earlier:
Dance Posture Recognition Using Wide-baseline Orthogonal Stereo Cameras,
FGR06(481-486).
IEEE DOI 0604
BibRef
And:
Learning and Inference of 3D Human Poses from Gaussian Mixture Modeled Silhouettes,
ICPR06(II: 43-47).
IEEE DOI 0609
BibRef

Hisatomi, K.[Kensuke], Katayama, M.[Miwa], Tomiyama, K.[Kimihiro], and Iwadate, Y.[Yuichi],
3D Archive System for Traditional Performing Arts: Application of 3D Reconstruction Method Using Graph-cuts,
IJCV(94), No. 1, August 2011, pp. 78-88.
WWW Link. 1101
BibRef
Earlier: A1, A3, A2, A4:
Method of 3D reconstruction using graph cuts, and its application to preserving intangible cultural heritage,
DigArt09(923-930).
IEEE DOI 0910
Theater (Noh) Scenes. BibRef

Chu, W.T., Tsai, S.Y.,
Rhythm of Motion Extraction and Rhythm-Based Cross-Media Alignment for Dance Videos,
MultMed(14), No. 1, January 2012, pp. 129-141.
IEEE DOI 1201
BibRef

Ren, R., Collomosse, J.P.,
Visual Sentences for Pose Retrieval Over Low-Resolution Cross-Media Dance Collections,
MultMed(14), No. 6, 2012, pp. 1652-1661.
IEEE DOI 1212
BibRef

Oshita, M.[Masaki], Seki, T.[Takeshi], Yamanaka, R.[Reiko], Nakatsuka, Y.[Yukiko], Iwatsuki, M.[Masami],
Easy-to-use authoring system for Noh (Japanese traditional) dance animation and its evaluation,
VC(29), No. 10, October 2013, pp. 1077-1091.
Springer DOI 1310
BibRef

Alexiadis, D.S., Daras, P.,
Quaternionic Signal Processing Techniques for Automatic Evaluation of Dance Performances From MoCap Data,
MultMed(16), No. 5, August 2014, pp. 1391-1406.
IEEE DOI 1410
correlation methods BibRef

Samanta, S.[Soumitra], Chanda, B.[Bhabatosh],
Space-Time Facet Model for Human Activity Classification,
MultMed(16), No. 6, October 2014, pp. 1525-1535.
IEEE DOI 1410
BibRef
Earlier:
A Novel Technique for Space-Time-Interest Point Detection and Description for Dance Video Classification,
ISVC13(I:507-516).
Springer DOI 1310
Haar transforms BibRef

Amelynck, D., Maes, P.J., Martens, J.P., Leman, M.,
Expressive Body Movement Responses to Music Are Coherent, Consistent, and Low Dimensional,
Cyber(44), No. 12, December 2014, pp. 2288-2301.
IEEE DOI 1412
cognition BibRef

Edwards, C.[Chris],
Decoding the Language of Human Movement,
CACM(57), No. 12, December 2014, pp. 12-14.
DOI Link 1412
Overview article BibRef

Peng, H., Zhou, C., Hu, H., Chao, F., Li, J.,
Robotic Dance in Social Robotics: A Taxonomy,
HMS(45), No. 3, June 2015, pp. 281-293.
IEEE DOI 1506
BibRef

Saha, S., Konar, A.,
Topomorphological approach to automatic posture recognition in ballet dance,
IET-IPR(9), No. 11, 2015, pp. 1002-1011.
DOI Link 1511
Radon transforms BibRef

Soga, A.[Asako], Umino, B.[Bin], Yazaki, Y.[Yuho], Hirayama, M.[Motoko],
Body-Part Motion Synthesis System and Its Evaluation for Discovery Learning of Dance,
IEICE(E99-D), No. 4, April 2016, pp. 1024-1031.
WWW Link. 1604
BibRef

Mohanty, A.[Aparna], Vaishnavi, P.[Pratik], Jana, P.[Prerana], Majumdar, A.[Anubhab], Ahmed, A.[Alfaz], Goswami, T.[Trishita], Sahay, R.R.[Rajiv R.],
Nrityabodha: Towards understanding Indian classical dance using a deep learning approach,
SP:IC(47), No. 1, 2016, pp. 529-548.
Elsevier DOI 1610
Deep learning BibRef

Mohanty, A.[Aparna], Sahay, R.R.[Rajiv R.],
Rasabodha: Understanding Indian classical dance by recognizing emotions using deep learning,
PR(79), 2018, pp. 97-113.
Elsevier DOI 1804
Deep learning, Convolutional neural network, Facial expression recognition, Emotion recognition BibRef

Han, T., Yao, H., Xu, C., Sun, X., Zhang, Y., Corso, J.J.,
Dancelets Mining for Video Recommendation Based on Dance Styles,
MultMed(19), No. 4, April 2017, pp. 712-724.
IEEE DOI 1704
Convolution BibRef

Reily, B.[Brian], Zhang, H.[Hao], Hoff, W.A.[William A.],
Real-time gymnast detection and performance analysis with a portable 3D camera,
CVIU(159), No. 1, 2017, pp. 154-163.
Elsevier DOI 1706
Depth, image, segmentation BibRef

Malafronte, D.[Damiano], de Vito, E.[Ernesto], Odone, F.[Francesca],
Space-Time Signal Analysis and the 3D Shearlet Transform,
JMIV(60), No. 7, September 2018, pp. 1008-1024.
Springer DOI 1808
BibRef

Malafronte, D.[Damiano], Goyal, G.[Gaurvi], Vignolo, A.[Alessia], Odone, F.[Francesca], Noceti, N.[Nicoletta],
Investigating the Use of Space-Time Primitives to Understand Human Movements,
CIAP17(I:40-50).
Springer DOI 1711
BibRef

Aristidou, A.[Andreas], Stavrakis, E.[Efstathios], Papaefthimiou, M.[Margarita], Papagiannakis, G.[George], Chrysanthou, Y.[Yiorgos],
Style-based motion analysis for dance composition,
VC(34), No. 12, December 2018, pp. 1725-1737.
Springer DOI 1811
BibRef

El Raheb, K.[Katerina], Stergiou, M.[Marina], Katifori, A.[Akrivi], Ioannidis , Y.[Yannis],
Dance Interactive Learning Systems: A Study on Interaction Workflow and Teaching Approaches,
Surveys(52), No. 2, May 2019, pp. Article No 50.
DOI Link 1908
BibRef

Malleson, C.[Charles], Collomosse, J.P.[John P.], Hilton, A.[Adrian],
Real-Time Multi-person Motion Capture from Multi-view Video and IMUs,
IJCV(128), No. 6, June 2020, pp. 1594-1611.
Springer DOI 2006
BibRef

Gilbert, A.[Andrew], Volino, M.[Marco], Collomosse, J.P.[John P.], Hilton, A.[Adrian],
Volumetric Performance Capture from Minimal Camera Viewpoints,
ECCV18(XI: 591-607).
Springer DOI 1810
BibRef

Sun, G., Wong, Y., Cheng, Z., Kankanhalli, M.S., Geng, W., Li, X.,
DeepDance: Music-to-Dance Motion Choreography With Adversarial Learning,
MultMed(23), 2021, pp. 497-509.
IEEE DOI 2012
Generators, Feature extraction, Task analysis, Correlation, Music, Deep learning, Music-driven dance choreography, cross-modal association BibRef

Berenguer, A.D.[Abel Díaz], Alioscha-Perez, M.[Mitchel], Oveneke, M.C.[Meshia Cédric], Sahli, H.[Hichem],
Context-Aware Human Trajectories Prediction via Latent Variational Model,
CirSysVideo(31), No. 5, 2021, pp. 1876-1889.
IEEE DOI 2105
BibRef

Oveneke, M.C.[Meshia Cédric], Enescu, V.[Valentin], Sahli, H.[Hichem],
Real-Time Dance Pattern Recognition Invariant to Anthropometric and Temporal Differences,
ACIVS12(407-419).
Springer DOI 1209
BibRef

Gafni, O.[Oran], Ashual, O.[Oron], Wolf, L.B.[Lior B.],
Single-Shot Freestyle Dance Reenactment,
CVPR21(882-891)
IEEE DOI 2111
Training, Visualization, Image segmentation, Motion segmentation, Face recognition, Biological system modeling BibRef

Li, M.[Min], Miao, Z.J.[Zhen-Jiang], Zhang, X.P.[Xiao-Ping], Xu, W.[Wanru], Ma, C.[Cong], Xie, N.[Ningwei],
Rhythm-Aware Sequence-to-Sequence Learning for Labanotation Generation With Gesture-Sensitive Graph Convolutional Encoding,
MultMed(24), 2022, pp. 1488-1502.
IEEE DOI 2204
Professional dance notation system. Motion segmentation, Data models, Skeleton, Hidden Markov models, Feature extraction, Decoding, Rhythm, Attention mechanism, sequence-to-sequence model BibRef

Cheng, H.Y.[Hsu-Yung], Yu, C.C.[Chih-Chang], Lin, C.L.[Chih-Lung],
Generating Dance Videos Using Pose Transfer Generative Adversarial Network With Multiple Scale Region Extractor and Learnable Region Normalization,
MultMedMag(29), No. 1, January 2022, pp. 47-54.
IEEE DOI 2205
Feature extraction, Videos, Decoding, Generative adversarial networks, Convolutional neural networks, pose transfer BibRef

Mallick, T.[Tanwi], Das, P.P.[Partha Pratim], Majumdar, A.K.[Arun Kumar],
Posture and sequence recognition for Bharatanatyam dance performances using machine learning approaches,
JVCIR(87), 2022, pp. 103548.
Elsevier DOI 2208
Posture recognition, Sequence recognition, Dance segmentation, Multi-modal dance modeling, Machine learning, Bharatanatyam Dance analysis BibRef

Kim, J.[Jinwoo], Kwon, B.[Beom], Kim, J.[Jongyoo], Lee, S.H.[Sang-Hoon],
MNET++: Music-Driven Pluralistic Dancing Toward Multiple Dance Genre Synthesis,
PAMI(45), No. 12, December 2023, pp. 15036-15050.
IEEE DOI 2311
BibRef

Kim, J.[Jinwoo], Oh, H.[Heeseok], Kim, S.[Seongjean], Tong, H.[Hoseok], Lee, S.H.[Sang-Hoon],
A Brand New Dance Partner: Music-Conditioned Pluralistic Dancing Controlled by Multiple Dance Genres,
CVPR22(3480-3490)
IEEE DOI 2210
Training, Measurement, Humanities, Computational modeling, Transformers, Vision + X BibRef

Siyao, L.[Li], Yu, W.J.[Wei-Jiang], Gu, T.[Tianpei], Lin, C.Z.[Chun-Ze], Wang, Q.[Quan], Qian, C.[Chen], Loy, C.C.[Chen Change], Liu, Z.W.[Zi-Wei],
Bailando++: 3D Dance GPT With Choreographic Memory,
PAMI(45), No. 12, December 2023, pp. 14192-14207.
IEEE DOI 2311
BibRef

Tsuchida, S.[Shuhei], Fukayama, S.[Satoru], Kato, J.[Jun], Yakura, H.[Hiromu], Goto, M.[Masataka],
DanceUnisoner: A Parametric, Visual, and Interactive Simulation Interface for Choreographic Composition of Group Dance,
IEICE(E108-D), No. 3, March 2024, pp. 386-399.
WWW Link. 2403
BibRef

Anil-Kumar, D., Kishore, P.V.V., Chaithanya, T.R., Sravani, K.,
Multi frame multi-head attention learning on deep features for recognizing Indian classical dance poses,
JVCIR(99), 2024, pp. 104091.
Elsevier DOI 2403
Deep learning, Indian classical dance, Self-attention, Convolutional neural networks, Computers in art BibRef

Jia, R.[Ru], Zhao, L.[Li], Yang, R.[Rui], Yang, H.H.[Hong-Hong], Wu, X.J.[Xiao-Jun], Zhang, Y.[Yumei], Li, P.[Peng], Su, Y.P.[Yu-Ping],
HFA-GTNet: Hierarchical Fusion Adaptive Graph Transformer network for dance action recognition,
JVCIR(98), 2024, pp. 104038.
Elsevier DOI 2402
Dance action recognition, Self-built dance datasets, Hierarchical Spatial Attention, Temporal Fusion Attention, Adaptive Component BibRef

Kim, D.[Doyoung], Kim, T.[Taewan], Lee, I.[Inwoong], Lee, S.H.[Sang-Hoon],
Kinematic Diversity and Rhythmic Alignment in Choreographic Quality Transformers for Dance Quality Assessment,
CirSysVideo(34), No. 7, July 2024, pp. 5677-5692.
IEEE DOI 2407
Humanities, Kinematics, Transformers, Measurement, Torso, Correlation, Web sites, Dance quality assessment, kinematic diversity, multimodal learning BibRef

Yu, J.[Jiashuo], Pu, J.[Junfu], Cheng, Y.[Ying], Feng, R.[Rui], Shan, Y.[Ying],
Learning Music-Dance Representations Through Explicit-Implicit Rhythm Synchronization,
MultMed(26), 2024, pp. 8454-8463.
IEEE DOI 2408
Rhythm, Visualization, Humanities, Synchronization, Videos, Task analysis, Feature extraction, Multimodal learning, self-supervised learning BibRef

Lin, S.H.[Shu-Hong], Zukerman, M.[Moshe], Yan, H.[Hong],
Music-Driven Choreography Based on Music Feature Clusters and Dynamic Programming,
MultMed(26), 2024, pp. 9330-9341.
IEEE DOI 2409
Humanities, Motion segmentation, Rhythm, Vectors, Databases, Transformers, Dynamic programming, Choreography, cubic spline BibRef

Liang, X.[Xiao], Li, W.S.[Wen-Sheng], Huang, L.F.[Li-Feng], Gao, C.Y.[Cheng-Ying],
DanceComposer: Dance-to-Music Generation Using a Progressive Conditional Music Generator,
MultMed(26), 2024, pp. 10237-10250.
IEEE DOI 2410
Humanities, Rhythm, Videos, Transformers, Generators, Feature extraction, Task analysis, Dance-to-music generation, stylistic matching BibRef

Li, R.H.[Rong-Hui], Zhang, Y.[YuXiang], Zhang, Y.[Yachao], Zhang, H.W.[Hong-Wen], Guo, J.[Jie], Zhang, Y.[Yan], Liu, Y.B.[Ye-Bin], Li, X.[Xiu],
Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives,
CVPR24(1524-1534)
IEEE DOI Code:
WWW Link. 2410
Humanities, Correlation, Codes, Computational modeling, Production, Computer architecture, motion synthesis, diffusion, long-term BibRef

Luo, Z.[Zhenye], Ren, M.[Min], Hu, X.C.[Xue-Cai], Huang, Y.Z.[Yong-Zhen], Yao, L.[Li],
POPDG: Popular 3D Dance Generation with PopDanceSet,
CVPR24(26974-26983)
IEEE DOI Code:
WWW Link. 2410
Measurement, Humanities, Codes BibRef

Wang, T.[Tan], Li, L.J.[Lin-Jie], Lin, K.[Kevin], Zhai, Y.H.[Yuan-Hao], Lin, C.C.[Chung-Ching], Yang, Z.Y.[Zheng-Yuan], Zhang, H.W.[Han-Wang], Liu, Z.C.[Zi-Cheng], Wang, L.J.[Li-Juan],
Disco: Disentangled Control for Realistic Human Dance Generation,
CVPR24(9326-9336)
IEEE DOI Code:
WWW Link. 2410
Humanities, Codes, Social networking (online), Generative AI, Computer architecture, Diffusion Model BibRef

Wang, Z.X.[Zi-Xuan], Jia, J.[Jia], Sun, S.K.[Shi-Kun], Wu, H.Z.[Hao-Zhe], Han, R.[Rong], Li, Z.Y.[Zhen-Yu], Tang, D.[Di], Zhou, J.Q.[Jia-Qing], Luo, J.B.[Jie-Bo],
DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance,
CVPR24(7892-7901)
IEEE DOI Code:
WWW Link. 2410
Measurement, Humanities, Computational modeling, Cameras, Transformers, Music, Dance, Camera Movement, Diffusion Models, Dataset BibRef

Zhang, C.[Canyu], Tang, Y.[Youbao], Zhang, N.[Ning], Lin, R.S.[Ruei-Sung], Han, M.[Mei], Xiao, J.[Jing], Wang, S.[Song],
Bidirectional Autoregressive Diffusion Model for Dance Generation,
CVPR24(687-696)
IEEE DOI Code:
WWW Link. 2410
Measurement, Humanities, Codes, Music, Benchmark testing, Diffusion models BibRef

Lin, Z.Q.[Zhi-Qun],
Dance movement recognition method based on convolutional neural network,
CVIDL23(255-258)
IEEE DOI 2403
Humanities, Image segmentation, Image recognition, Motion segmentation, Simulation, Long-term time pooling BibRef

Li, R.H.[Rong-Hui], Zhao, J.[Junfan], Zhang, Y.[Yachao], Su, M.Y.[Ming-Yang], Ren, Z.[Zeping], Zhang, H.[Han], Tang, Y.S.[Yan-Song], Li, X.[Xiu],
FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation,
ICCV23(10200-10209)
IEEE DOI 2401
Dataset, Dance. BibRef

Gong, K.[Kehong], Lian, D.Z.[Dong-Ze], Chang, H.[Heng], Guo, C.[Chuan], Jiang, Z.H.[Zi-Hang], Zuo, X.X.[Xin-Xin], Mi, M.B.[Michael Bi], Wang, X.C.[Xin-Chao],
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration,
ICCV23(9908-9918)
IEEE DOI Code:
WWW Link. 2401
BibRef

Siyao, L.[Li], Yu, W.J.[Wei-Jiang], Gu, T.[Tianpei], Lin, C.Z.[Chun-Ze], Wang, Q.[Quan], Qian, C.[Chen], Loy, C.C.[Chen Change], Liu, Z.W.[Zi-Wei],
Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory,
CVPR22(11040-11049)
IEEE DOI 2210
Humanities, Tracking, Pose estimation, Reinforcement learning, Transformers, Motion and tracking, Pose estimation and tracking BibRef

Loupas, G.[Georgios], Pistola, T.[Theodora], Diplaris, S.[Sotiris], Ioannidis, K.[Konstantinos], Vrochidis, S.[Stefanos], Kompatsiaris, I.[Ioannis],
Comparison of Deep Learning Techniques for Video-based Automatic Recognition of Greek Folk Dances,
MMMod23(II: 325-336).
Springer DOI 2304
BibRef

Yin, W.J.[Wen-Jie], Yin, H.[Hang], Baraka, K.[Kim], Kragic, D.[Danica], Björkman, M.[Mårten],
Dance Style Transfer with Cross-modal Transformer,
WACV23(5047-5056)
IEEE DOI 2302
Training, Measurement, Humanities, Transforms, Transformers, Applications: Arts/games/social media, Biometrics, face, gesture, body pose BibRef

Moltisanti, D.[Davide], Wu, J.Y.[Jin-Yi], Dai, B.[Bo], Loy, C.C.[Chen Change],
BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis,
ECCV22(VIII:329-344).
Springer DOI 2211
BibRef

Hu, X.D.[Xiao-Dan], Ahuja, N.[Narendra],
Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition *,
ICCV21(10995-11004)
IEEE DOI 2203
Tracking, Pose estimation, Imaging, Image sequences, Gestures and body pose, Action and behavior recognition, Video analysis and understanding BibRef

Li, R.L.[Rui-Long], Yang, S.[Shan], Ross, D.A.[David A.], Kanazawa, A.[Angjoo],
AI Choreographer: Music Conditioned 3D Dance Generation with AIST++,
ICCV21(13381-13392)
IEEE DOI 2203
Solid modeling, Codes, Predictive models, Transformers, Motion and tracking, Datasets and evaluation, Vision + other modalities BibRef

Jafarian, Y.[Yasamin], Park, H.S.[Hyun Soo],
Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos,
CVPR21(12748-12757)
IEEE DOI 2111
Geometry, Surface reconstruction, Solid modeling, Social networking (online), Shape, Estimation BibRef

Bakalos, N., Rallis, I., Doulamis, N., Doulamis, A., Voulodimos, A., Protopapadakis, E.,
Adaptive Convolutionally Enchanced Bi-Directional LSTM Networks for Choreographic Modeling,
ICIP20(1826-1830)
IEEE DOI 2011
Convolution, Image processing, Logic gates, Adaptation models, Kernel, Adaptive systems, Convolutional LSTM, CNN, Intangible Cultural Heritage BibRef

Chan, C., Ginosar, S., Zhou, T., Efros, A.,
Everybody Dance Now,
ICCV19(5932-5941)
IEEE DOI 2004
face recognition, feature extraction, image representation, image sequences, learning (artificial intelligence), YouTube BibRef