A Survey on Motion Capture Data Retrieval

Abstract:

With the rapid development of motion capture technology, large motion capture databases are established. How to effectively retrieve the motions from huge amounts of motion data has become a hot topic in computer animation. In this paper, we give a survey on current motion capture data retrieval methods and point out some still existing problems at the end.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 2944-2947
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.2944
• Online since: May 2014
• Authors: Na Lv, Yan Huang*, Zhi Quan Feng, Jing Liang Peng
• Keywords: Motion Capture, Motion Representation, Motion Retrieval

References

[1] M. Müller, T. Röder, and M. Clausen, Efficient content-based retrieval of motion capture data, in ACM Transactions on Graphics (TOG), vol. 24, no. 3. ACM, 2005, p.677–685.

DOI: 10.1145/1073204.1073247

[2] M. Müller and T. Röder, Motion templates for automatic classification and retrieval of motion capture data, in Proceedings of the 2006 ACMSIGGRAPH/Eurographics symposium on Computer animation. Eurographics Association, 2006, p.137–146.

[3] F. Liu, Y. Zhuang, F. Wu, and Y. Pan, 3d motion retrieval with motion index tree, Computer Vision and Image Understanding, vol. 92, no. 2, p.265–284, (2003).

DOI: 10.1016/j.cviu.2003.06.001

[4] Z. Deng, Q. Gu, and Q. Li, Perceptually consistent example-based human motion retrieval, in Proceedings of the 2009 symposium on Interactive 3D graphics and games. ACM, 2009, p.191–198.

DOI: 10.1145/1507149.1507181

[5] D. E. Knuth, J. H. Morris, Jr, and V. R. Pratt, Fast pattern matching in strings, SIAM journal on computing, vol. 6, no. 2, p.323–350, (1977).

DOI: 10.1137/0206024

[6] C. Li, S. Zheng, and B. Prabhakaran, Segmentation and recognition of motion streams by similarity search, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), vol. 3, no. 3, p.16, (2007).

DOI: 10.1145/1236471.1236475

[7] Y. Jin and B. Prabhakaran, Knowledge discovery from 3d human motion streams through semantic dimensional reduction, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), vol. 7, no. 2, p.9, (2011).

DOI: 10.1145/1925101.1925104

[8] P. Glardon, R. Boulic, and D. Thalmann, A coherent locomotion engine extrapolating beyond experimental data, Proceedings of CASA, vol. 4, p.73–84, (2004).

[9] Glardon P, Boulic R, Thalmann D. PCA-based walking engine using motion capture data[C]. Computer Graphics International, 2004. Proceedings. IEEE, 2004: 292-298.

DOI: 10.1109/cgi.2004.1309224

[10] G. Liu, J. Zhang, W. Wang, and L. McMillan, A system for analyzing and indexing human-motion databases, in Proceedings of the 2005 ACM SIGMOD international conference on Management of data. ACM, 2005, p.924–926.

DOI: 10.1145/1066157.1066290

[11] K. Yang and C. Shahabi, A pca-based similarity measure for multivariate time series, in Proceedings of the 2nd ACM international workshop on Multimedia databases. ACM, 2004, p.65–74.

DOI: 10.1145/1032604.1032616

[12] K. Forbes and E. Fiume, An efficient search algorithm for motion data using weighted pca, in Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation. ACM, 2005, p.67–76.

DOI: 10.1145/1073368.1073377

[13] S. Wu, S. Xia, Z. Wang, and C. Li, Efficient motion data indexing and retrieval with local similarity measure of motion strings, The Visual Computer, vol. 25, no. 5-7, p.499–508, (2009).

DOI: 10.1007/s00371-009-0345-1

[14] Y. Sakamoto, S. Kuriyama, and T. Kaneko, Motion map: image-based retrieval and segmentation of motion data, in Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation. Eurographics Association, 2004, p.259–266.

DOI: 10.1145/1028523.1028557

[15] C. Sun, I. Junejo, and H. Foroosh, Motion retrieval using low-rank subspace decomposition of motion volume, in Computer Graphics Forum, vol. 30, no. 7. Wiley Online Library, 2011, p.1953–(1962).

DOI: 10.1111/j.1467-8659.2011.02048.x

[16] M. Zhu, H. Sun, and Z. Deng, Quaternion space sparse decomposition for motion compression and retrieval, in Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation. Eurographics Association, 2012, p.183–192.

[17] H. Kadu, M. Kuo, and C. -C. J. Kuo, Human motion classification and management based on mocap data analysis, in Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding. ACM, 2011, p.73–74.

DOI: 10.1145/2072572.2072594

[18] R. Laban and L. Ullmann, The mastery of movement., (1971).

[19] Y. Wakayama, S. Okajima, S. Takano, and Y. Okada, Iec-based motion retrieval system using laban movement analysis, in Knowledge-Based and Intelligent Information and Engineering Systems. Springer, 2010, p.251–260.

DOI: 10.1007/978-3-642-15384-6_27

[20] S. Okajima, Y. Wakayama, and Y. Okada, Human motion retrieval system based on lma features using interactive evolutionary computation method, in Innovations in Intelligent Machines–2. Springer, 2012, p.117–130.

DOI: 10.1007/978-3-642-23190-2_9

[21] M. Kapadia, I. -k. Chiang, T. Thomas, N. I. Badler, J. T. Kider Jr et al., Efficient motion retrieval in large motion databases, in Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games. ACM, 2013, p.19–28.

DOI: 10.1145/2448196.2448199