An expressive three-mode principal components model of human action style

Image and Vision Computing

Volumn 21, Issue 11, 2003, Pages 1001-1016

  Davis, James W ^a   Gao, Hui ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

Action recognition; Gesture recognition; Motion analysis; Style; Three mode principal components

Indexed keywords

COMPUTATIONAL METHODS; ERROR ANALYSIS; GESTURE RECOGNITION; PARAMETER ESTIMATION;

ACTION RECOGNITION; MOTION ANALYSIS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 0041735141     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(03)00138-0     Document Type: Article

References (45)

1. Aggarwal J., Cai Q. Human motion analysis: a review. In Nonrigid Articulated Motion Wkshp, IEEE. 1997;90-102.
2. Ali A., Aggarwal J. Segmentation and recognition of continuous human activity. In Proc. Wkshp. Detect. Recogn. Events Video, IEEE. 2001;28-35.
3. Barclay C., Cutting J., Kozlowski L. Temporal and spatial factors in gait perception that influence genderrecognition. Percept. Psycholphys. 23:(2):1978;145-152.
4. Ben-Arie J., Wang Z., Pandit P., Rajaram S. Human activity recognition using multidimensional indexing. IEEE Trans. Pattern Anal. Mach. Intell. 24:(8):2002;1091-1104.
5. Black M., Yacoob Y., Jepson A., Fleet D. Learning parameterized models of image motion. In Proc. Comput. Vis. Pattern Rec. 1997;561-567.
6. Bobick A., Davis J. An appearance-based representation of action. In Proc. Int. Conf. Pattern Rec. 1996;307-312.
7. Brand M., Hertzmann A. Style machines. In Proc. SIGGRAPH, ACM. July:2000;183-192.
8. Bregler C., Malik J. Tracking people with twists and exponential maps. In Proc. Comput. Vis. Pattern Rec. 1998;8-15.
9. Burden R., Faires J. Numerical Analysis. 1993;PWS, Boston.
10. Chi D., Costa M., Zhao L., Badler N. The EMOTE model for effort and shape. In Proc. SIGGRAPH, ACM. 2000;173-182.
11. Cui Y., Swets D., Weng J. Learning-based hand sign recognition using SHOSLIF-M. In Proc. Int. Conf. Comput. Vis., IEEE. 1995;631-636.
12. Cutting J., Proffitt D., Kozlowski L. A biomechanical invariant for gait perception. J. Exp. Psych. 4:(3):1978;357-372.
13. Davis J., Bobick A. The representation and recognition of action using temporal templates. In Proc. Comput. Vis. Pattern Rec., IEEE. 1997;928-934.
14. Davis J., Gao H., Kannappan V. A three-mode expressive feature model of action effort. In Wkshp. Motion Video Comput., IEEE. 2002;139-144.
15. Davis J., Kannappan V. Expressive features for movement exaggeration. In SIGGRAPH Conf. Abstr. Appl., ACM. 2002;182.
16. Davis J., Taylor S. Analysis and recognition of walking movements. In Proc. Int. Conf. Pattern Rec. 2002;315-318.
17. Davis J. Visual categorization of children and adult walking styles. In Proc. Int. Conf. Audio Video-based Biometric Person Authentication. 2001;295-300.
18. Dockstader S., Bergkessel K., Tekalp A. Feature extraction for the analysis of gait and human motion. In Proc. Int. Conf. Pattern Rec. 2002;5-8.
19. Gavrila D. The visual analysis of human movement: a survey. Comput. Vis. Image Understanding. 73:(1):1999;82-98.
20. Giese M., Poggio T. Morphable models for the analysis and synthesis of complex motion patterns. Int. J. Comput. Vis. 38:(1):2000.
21. Johansson G. Visual perception of biological motion and a model for its analysis. Percept. Psychophys. 14:(2):1973;201-211.
22. Kozlowski L., Cutting J. Recognizing the sex of a walker from dynamic point-light display. Percept. Psychophys. 21:(6):1977;575-580.
23. Kozlowski L., Cutting J. Recognizing the gender of walkers from point-lights mounted onankles: some second thoughts. Percept. Psychophys. 23:(5):1978;459.
24. Kroonenberg P., Leeuw J. Principal component analysis of three-mode data by means of alternating least squares algorithms. Psychometrika. 45:(1):1980;69-97.
25. Kroonenberg P. Three-Mode Principal Component Analysis Theory and Applications. 1983;DSWO Press, Leiden.
26. Li N., Dettmer S., Shah M. Visually recognizing speech using eigensequences. In: Motion-Based Recognition. 1997;Norwell, MA. Dordrecht. pp. 345-371.
27. McMahon T. Muscles, Reflexes, and Locomotion. 1984;NJ, Princeton.
28. Murase H., Nayar S. Visual learning and recognition of 3D objects from appearance. Int. J. Comput. Vis. 14:(1):1995;5-24.
29. Neal R., Snyder C., Kroonenberg P. Individual differences and segment interactions in throwing. Hum. Movement Sci. 10:1991;653-676.
30. Pavlovic V., Rehg J., Cham T., Murphy K. A dynamic Bayesian network approach to figure tracking using learned dynamic models. In Proc. Int. Conf. Comput. Vis. 1999;94-101.
31. Pollick F., Paterson H., Bruderlin A., Stanford A. Perceiving affect from arm movement. Cognition. 82:(2):2001;B51-B61.
32. Rao C., Shah M. View-invariant representation and learning of human action. In Proc. Wkshp. Detect. Recogn. Events Video, IEEE. 2001;55-63.
33. Rosales R., Sclaroff S. Inferring body pose without tracking body parts. In Proc. Comput. Vis. Pattern Rec., IEEE. 2000;721-727.
34. Runeson S., Frykholm G. Visual perception of lifted weight. J. Exp. Psych. 7:(4):1981;733-740.
35. Tenenbaum J., Freeman W. Separating style and content. Adv. Neural Inf. Process. Syst. 10:1997;662-668.
36. Troje N. Decomposing biological motion: a framework for analysis and synthesis of human gait patterns. J. Vis. 2:2002;371-387.
37. Tucker L. Some mathematical notes on three-mode factor analysis. Psychometricka. 31:(3):1966;279-311.
38. Turk M., Pentland A. Eigenfaces for recognition. J. Cogn. Neurosci. 3:(1):1991;71-86.
39. Unuma M., Anjyo K., Takeuchi R. Fourier principles for emotion-based human figure animation. In Proc. SIGGRAPH, ACM. 1995;91-96.
40. Unuma M., Takeuchi R. Generation of human motion with emotion. In Proc. Comput. Anim. 1991;77-88.
41. Vasilescu M., Terzopoulos D. Multilinear analysis of image ensembles: TensorFaces. In Proc. Eur. Conf. Comput. Vis. 2002;447-460.
42. Vasilescu M. Human motion signatures for character animation. In SIGGRAPH Conf. Abstr. Appl., ACM. 2001;200.
43. Wang L., Hu W., Tan T. Recent developments in human motion analysis. Pattern Recogn. 36:2003;585-601.
44. Wilson A., Bobick A. Parametric Hidden Markov Models for gesture recognition. IEEE Trans. Pattern Anal. Mach. Intell. 21:(9):1999;884-900.
45. Yamamoto M., Kondo T., Yamagiwa T., Yamanaka K. Skill recognition. In Proc. Int. Conf. Auto. Face Gesture Recogn. 1998;604-609.