16.7.4.5.9 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 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
Conferences 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

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.[William],
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


Lussu, V.[Vincenzo], Niewiadomski, R.[Radoslaw], Volpe, G.[Gualtiero], Camurri, A.[Antonio],
Using the Audio Respiration Signal for Multimodal Discrimination of Expressive Movement Qualities,
HBU16(102-115).
Springer DOI 1611
Dancers. BibRef

Lopez-Mendez, A., Westling, C.E.I., Emonet, R., Easteal, M., Lavia, L., Witchel, H.J., Odobez, J.M.,
Automated bobbing and phase analysis to measure walking entrainment to music,
ICIP14(4186-4190)
IEEE DOI 1502
Cameras BibRef

Panagiotakis, C.[Costas], Argyros, A.[Antonis], Michel, D.[Damien],
Temporal Segmentation and Seamless Stitching of Motion Patterns for Synthesizing Novel Animations of Periodic Dances,
ICPR14(1892-1897)
IEEE DOI 1412
Animation BibRef

Hu, H.[Huaichin], Tseng, R.[Rayuan], Lin, C.[Chyicheng], Ming, L.[Likuo], Ikeuchi, K.[Katsushi],
Analyzing Taiwanese Indigenous Folk Dances via Labanotation and Comparing Results from Interdisciplinary Studies,
EuroMed14(196-206).
Springer DOI 1412
BibRef

Aristidou, A.[Andreas], Stavrakis, E.[Efstathios], Chrysanthou, Y.[Yiorgos],
LMA-Based Motion Retrieval for Folk Dance Cultural Heritage,
EuroMed14(207-216).
Springer DOI 1412
BibRef

Ukita, N.[Norimichi], Fujine, S.[Shigenobu], Hagita, N.[Norihiro],
High-Resolution Performance Capture by Zoom-in Pan-Tilt Cameras,
3DIMPVT12(356-362).
IEEE DOI 1212
BibRef

El Raheb, K.[Katerina], Ioannidis, Y.[Yannis],
A Labanotation Based Ontology for Representing Dance Movement,
GW11(106-117).
Springer DOI 1211
BibRef

Jin, Y.[Yu], Hu, X.X.[Xiao-Xiang], Wu, G.[GangShan],
A Tai Chi Training System Based on Fast Skeleton Matching Algorithm,
ECCVDemos12(III: 667-670).
Springer DOI 1210
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

Kohn, B.[Bernhard], Nowakowska, A.[Aneta], Belbachir, A.N.[Ahmed Nabil],
Real-time body motion analysis for dance pattern recognition,
ECVW12(48-53).
IEEE DOI 1207
BibRef

Hassan, E.[Ehtesham], Chaudhury, S.[Santanu], Gopal, M.,
Annotating Dance Posture Images Using Multi Kernel Feature Combination,
NCVPRIPG11(41-45).
IEEE DOI 1205
See also hybrid framework for event detection using multi-modal features, A. BibRef

Yamane, R., Shakunaga, T.,
Dance motion analysis by correlation matrix between pose sequences,
IVCNZ10(1-6).
IEEE DOI 1203
BibRef

Samanta, S.[Soumitra], Chanda, B.[Bhabatosh],
Indian Classical Dance Classification on Manifold Using Jensen-Bregman LogDet Divergence,
ICPR14(4507-4512)
IEEE DOI 1412
Accuracy BibRef

Samanta, S.[Soumitra], Purkait, P.[Pulak], Chanda, B.[Bhabatosh],
Indian Classical Dance classification by learning dance pose bases,
WACV12(265-270).
IEEE DOI 1203
BibRef

Geigel, J.[Joe], Schweppe, M.[Marla],
Motion capture for realtime control of virtual actors in live, distributed, theatrical performances,
FG11(774-779).
IEEE DOI 1103
BibRef

Savoye, Y.[Yann], Franco, J.S.[Jean-Sébastien],
Cage-Based Tracking for Performance Animation,
ACCV10(III: 599-612).
Springer DOI 1011
BibRef

Deng, L.Q.[Li-Qun], Leung, H.[Howard], Gu, N.[Naijie], Yang, Y.[Yang],
Recognizing Dance Motions with Segmental SVD,
ICPR10(1537-1540).
IEEE DOI 1008
BibRef

Ofli, F., Erzin, E., Yemez, Y., Tekalp, A.M., Erdem, C.E., Erdem, A.T., Abaci, T., Ozkan, M.K.,
Unsupervised dance figure analysis from video for dancing Avatar animation,
ICIP08(1484-1487).
IEEE DOI 0810
BibRef

Peng, B.[Bo], Qian, G.[Gang],
Binocular dance pose recognition and body orientation estimation via multilinear analysis,
Tensor08(1-8).
IEEE DOI 0806
BibRef

Kamon, Y., Yamane, R., Mukaigawa, Y., Shakunaga, T.,
Coordination of appearance and motion data for virtual view generation of traditional dances,
3DIM05(118-125).
IEEE DOI 0508
BibRef

Yoshimura, M.[Mitsu], Hachimura, K.[Kozaburo], Marumo, Y.[Yuuka],
Comparison of Structural Variables with Spatio-temporal Variables Concerning the Identifiability of Okuri Class and Player in Japanese Traditional Dancing,
ICPR06(III: 308-311).
IEEE DOI 0609
BibRef

Lu, C.W.[Cun-Wei], Cho, G.[Genki],
Accurate 3D Scanning of Swaying Human Body Parts by One Projection Based on OIMP Technique,
ICPR06(IV: 1-4).
IEEE DOI 0609
BibRef

Qian, G.[Gang], James, J.[Jodi], Ingalls, T.[Todd], Rikakis, T.[Thanassis], Rajko, S.[Stjepan], Wang, Y.[Yi], Whiteley, D.[Daniel], Guo, F.[Feng],
Human Movement Analysis for Interactive Dance,
CIVR06(499-502).
Springer DOI 0607
BibRef

Whiteley, D., Qian, G., Rikakis, T., James, J., Ingalls, T., Wong, S.K., Olson, L.,
Movement Analysis for Interactive Dance Using Motion Capture Data Part I: Real-Time Tracking of Multiple People from Unlabelled Markers,
BMVC05(xx-yy).
HTML Version. 0509
BibRef

Kuno, Y.[Yoshinori], Nakamura, A.[Akio], Tabata, S.[Sou], Ueda, T.[Tomoya], Kiyofuji, S.[Shinichiro],
Multimodal Dance Training System based on Motion Analysis,
CREST05(120-125).
WWW Link. 0505
BibRef

Nakazawa, A.[Atsushi], Ikeuchi, K.[Katsushi],
Dance Motion Analysis and Synthesis using Motion Capture Data,
CREST05(126-133).
WWW Link. 0505
BibRef

Shiratori, T.[Takaaki], Nakazawa, A.[Atsushi], Ikeuchi, K.[Katsushi],
Structure Detection of Dance Sequence using Motion Capture and Musical Information,
CREST05(134-139).
WWW Link. 0505
BibRef

Nakaoka, S.[Shinichiro], Ikeuchi, K.[Katsushi], Nakazawa, A.[Atsushi], Kanehiro, F.[Fumio], Kaneko, K.[Kenji], Morisawa, M.[Mitsuharu],
Task model of lower body motion for a humanoid robot to imitate human dances,
CREST05(146-153).
WWW Link. 0505
BibRef

Kuno, Y.[Yoshinori], Nakamura, A.[Akio], Murakami, T.[Tomokazu], Niwayama, T.[Tomoyuki], Tabata, S.[Sou],
Motion Analysis of Traditional Dances and Its Applications,
CREST03(183-194). 0309
BibRef

Naemura, M.[Masahide], Suzuki, M.[Masami],
Extraction of Rhythmical Factors on Dance Actions Thorough Motion Analysis,
WACV05(I: 407-413).
IEEE DOI 0502
BibRef

Cassel, R.[Ryan], Collet, C.[Christophe], Gherbi, R.[Rachid],
Real-Time Acrobatic Gesture Analysis,
GW05(88-99).
Springer DOI 0505
BibRef

Cassel, R.[Ryan], Collet, C.[Christophe],
Tracking of Real Time Acrobatic Movements by Image Processing,
GW03(164-171).
Springer DOI 0405
BibRef

Soga, A.[Asako], Umino, B.[Bin], Yasuda, T.[Takami], Yokoi, S.[Shigeki],
A System for Choreographic Simulation of Ballet Using a 3D Motion Archive on the Web,
AMDO04(227-238).
Springer DOI 0505
BibRef

Shiratori, T., Nakazawa, A., Ikeuchi, K.,
Detecting dance motion structure through music analysis,
AFGR04(857-862).
WWW Link. 0411
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Action Detection, Human Action Recognition .


Last update:Sep 18, 2017 at 11:34:11