Efficient unsupervised temporal segmentation of human motion

SCA 2014 - Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation

Volumn , Issue , 2014, Pages 167-176

  Vögele, Anna ^a   Krüger, Björn ^a   Klein, Reinhard ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

INTERACTIVE COMPUTER GRAPHICS; MOTION ANALYSIS; SEMANTICS;

ANALYSIS AND SYNTHESIS; MOTION PRIMITIVES; MOTION PROCESSING; MOTION SEGMENTATION; MOTION SEQUENCES; NEIGHBORHOOD GRAPHS; SIMILARITY INFORMATIONS; TEMPORAL SEGMENTATIONS;

ANIMATION;

EID: 84984863555     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. BEAUDOIN P., COROS S., VAN DE PANNE M., POULIN P.: Motion-motif graphs. In Proc. of the 2008 ACM SIGGRAPH (2008), SCA'08, pp. 117-126. 2
2. BARBIČ J., PAN J.-Y., FALOUTSOS C., HODGINS J. K., POLLARD N.: Segmenting motion capture data into distinct behaviors. In In Proc. of Graphics Interface 2004 (May 2004), pp. 185 -194. 2, 6
3. BERNARD J., WILHELM N., KRÜGER B., MAY T., SCHRECK T., KOHLHAMMER J.: Motionexplorer: Exploratory search in human motion capture data based on hierarchical aggregation. IEEE Trans. on Visualization and Computer Graphics (Proc. VAST) (2013). 2
4. CMU: Carnegie Mellon University Graphics Lab: Motion Capture Database, 2013. mocap.cs.cmu.edu. 6
5. HECK R., GLEICHER M.: Parametric motion graphs. In Proceedings of the 2007 Symposium on Interactive 3D Graphics and Games (2007), I3D'07. 3
6. KOVAR L., GLEICHER M.: Automated extraction and parameterization of motions in large data sets. ACM Trans. Graph. 23, 3 (Aug. 2004), 559-568. 3, 6
7. KOVAR L., GLEICHER M., PIGHIN F.: Motion graphs. ACM Trans. Graph. 21, 3 (July 2002), 473-482. 3
8. KRÜGER B., TAUTGES J., MÜLLER M., WEBER A.: Multi-mode tensor representation of motion data. Journal of Virtual Reality and Broadcasting 5, 5 (July 2008). 9
9. KRÜGER B., TAUTGES J., WEBER A., ZINKE A.: Fast local and global similarity searches in large motion capture databases. SCA 2010, pp. 1-10.2, 3, 6
10. LÓPEZ-MENDEZ A., GALL J., CASAS J. R., GOOL L. J. V.: Metric learning from poses for temporal clustering of human motion. In BMVC (2012), pp. 1-12. 3
11. LAN R., SUN H.: Automated human motion segmentation via motion regularities. The Vis. Comp. (2013), 1-19. 3
12. MÜLLER M., BAAK A., SEIDEL H.-P.: Efficient and robust annotation of motion capture data. SCA 2009, pp. 17-26. 3
13. MIN J., CHAI J.: Motion graphs++: A compact generative model for semantic motion analysis and synthesis. ACM Trans. Graph. 31, 6 (Nov. 2012), 153:1-153:12. 1, 3, 9
14. MÜLLER M., RÖDER T.: Motion templates for automatic classification and retrieval of motion capture data. SCA 2006. 3
15. MÜLLER M., RÖDER T., CLAUSEN M.: Efficient content-based retrieval of motion capture data. ACM Trans. Graph. 24, 3 (July 2005), 677-685. 3
16. MÜLLER M., RÖDER T., CLAUSEN M., EBERHARDT B., KRÜGER B., WEBER A.: Documentation Mocap Database HDM05. Tech. Rep. CG-2007-2, Universität Bonn, June 2007. 7
17. SAFONOVA A., HODGINS J. K.: Construction and optimal search of interpolated motion graphs. ACM Trans. Graph. 26, 3 (July 2007). 3
18. ZHOU F., LA TORRE F. D., HODGINS J. K.: Aligned cluster analysis for temporal segmentation of human motion. In IEEE Conference on Automatic Face and Gestures Recognition (September 2008). 1, 2
19. ZHOU F., LA TORRE F. D., HODGINS J. K.: Hierarchical aligned cluster analysis for temporal clustering of human motion. IEEE Trans. on Pattern Analysis and Machine Intelligence 35, 3 (2013), 582-596. 1, 2, 6, 10