Towards semantic segmentation of human motion sequences

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6359 LNAI, Issue , 2010, Pages 436-443

  Gehrig, Dirk ^a   Stein, Thorsten ^b   Fischer, Andreas ^b   Schwameder, Hermann ^b   Schultz, Tanja ^a  

^a Institute for Anthropomatics   (Germany)

^b KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA-DRIVEN; DISCRETE MOTION; ERROR RATE; FUNCTIONAL MOTIONS; HUMAN MOTION RECOGNITION; HUMAN MOTIONS; IMITATION LEARNING; MOTION CAPTURE DATA; MOTION PRIMITIVES; MOTION RECOGNITION; MOTION SEGMENTATION; MOTION SEQUENCES; ROBOTICS RESEARCH; SEMANTIC SEGMENTATION;

ARTIFICIAL INTELLIGENCE; IMAGE SEGMENTATION; POTASSIUM IODIDE; MOTION ANALYSIS; SEMANTICS;

MOTION ESTIMATION;

EID: 78349273984     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16111-7_50     Document Type: Conference Paper

References (18)

1. Schaal, S.: The New Robotics - towards human-centered machines. HFSP J. 1(2), 115-126 (2007)
2. Kahol, K.: Gesture Segmentation in Complex Motion Sequences. In: Proceedings IEEE International Conference on Image Processing, pp. 105-108 (2003)
3. Giese, M., Poggio, T.: Neural Mechanisms for the Recognition of Biological Movements. Nature Reviews 4, 179-192 (2003)
4. Rizzolatti, G., Fogassi, L., Gallese, V.: Neurophysiological Mechanisms Underlying the Understanding and Imitation of Action. Nature Reviews 2, 661-670 (2001)
5. Pastor, P., Hoffmann, H., Asfour, T., Schaal, S.: Learning and generalization of motor skills by learning from demonstration. In: ICRA 2009: Proceedings of the 2009 IEEE International Conference on Robotics and Automation, pp. 1293-1298 (2009)
6. Gehrig, D., Kuehne, H., Woerner, A., Schultz, T.: HMM-based Human Motion Recognition with Optical Flow Data. In: 9th IEEE-RAS International Conference on Humanoid Robots, Humanoids (2009)
7. Krueger, N., Piater, J., Woergoetter, F., Geib, C., Petrick, R., Steedman, M., Ude, A., Asfour, T., Kraft, D., Omrcen, D., Hommel, B., Agostino, A., Kragic, D., Eklundh, J., Kruger, V., Dillmann, R.: A Formal Definition of Object Action Complexes and Examples at different Levels of the Process Hierarchy (2009)
8. Barbic, J., Safonova, A., Pan, J.-Y., Faloutsos, C., Hodgins, J.K., Pollard, N.S.: Segmenting Motion Capture Data into Distinct Behaviors. In: Graphics Interface, pp. 185-194 (2004)
9. Reng, L., Moeslund, T.B., Granum, E.: Finding Motion Primitives in Human Body Gestures. In: Gibet, S., Courty, N., Kamp, J.-F. (eds.) GW 2005. LNCS (LNAI), vol. 3881, pp. 133-144. Springer, Heidelberg (2006)
10. Aksoy, E.E., Abramov, A., Woergoetter, F., Dellen, B.: Categorizing Object-Action Relations from Semantic Scene Graphs. In: IEEE International Conference on Robotics and Automation, pp. 398-405 (2010)
11. Sridhar, M., Cohn, G.A., Hogg, D.: Learning functional object categories from a relational spatio-temporal representation. In: 18th European Conference on Artificial Intelligence (2008)
12. Guerra-filho, G., Aloimonos, Y.: Towards a sensorimotor WordNet SM: Closing the semantic gap. In: Proc. of the International WordNet Conference, GWC (2006)
13. Ivanov, Y.A., Bobick, A.F.: Recognition of Visual Activities and Interactions by Stochastic Parsing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 852-872 (2000)
14. Goehner, U.: Einfuehrung in die Bewegungslehre des Sports, Teil 1: Die sportlichen Bewegungen (Introduction to human movement science, part 1: sports movements). Hofmann, Schorndorf (1992)
15. Kelso, J.A.S., Fuchs, A., Lancaster, R., Holroyd, T., Cheyne, D., Weinberg, H.: Dynamic cortical activity in the human brain reveals motor equivalence. Nature 392, 814-818 (1998)
16. Simonidis, C., Seemann, W.: MkdTools - human models with Matlab. In: Wassink, R. (ed.) The 10th International Symposium on 3D Analysis of Human Movement - Fusion Works (2008)
17. Soltau, H., Metze, F., Fügen, C., Waibel, A.: A one-pass decoder based on polymorphic linguistic context assignment. In: ASRU, pp. 214-217 (2001)
18. Finke, M., Geutner, P., Hild, H., Kemp, T., Ries, K., Westphal, M.: The Karlsruhe-Verbmobil speech recognition engine. ICASSP 1, 83-86 (1997)