A three-dimensional spatiotemporal template for interactive human motion analysis

Journal of Multimedia

Volumn 2, Issue 4, 2007, Pages 45-54

  Albu, Alexandra Branzan ^a   Beugeling, Trevor ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

Computer vision; Interactive motion analysis; Spatiotemporal motion representation

Indexed keywords

COMPUTER VISION; VISUALIZATION;

CONFIDENCE LEVELS; HUMAN MOTION ANALYSIS; HUMAN SUBJECTS; INTERACTIVE VISUALIZATIONS; MOTION HISTORY IMAGES; MOTION PERFORMANCE; MOTION REPRESENTATION; SELF OCCLUSION;

MOTION ANALYSIS;

EID: 77951138867     PISSN: 17962048     EISSN: None     Source Type: Journal    
DOI: 10.4304/jmm.2.4.45-54     Document Type: Article

References (20)

1. T. B. Moeslimd, A. Hilton, and V. Kruger, A survey of advances in vision-based human motion capture and analysis, Computer Vision and Image Understanding, vol. 104, pp. 90-126, 2006.
2. R. T. Collins, A. J. Lipton, and T. Kanade, Introduction to the special section on video surveillance, IEEE Trans, on Pattern Anal, and Machine Intel!., vol. 22, pp.68-73, August 2000.
3. E. Chang and Y.F. Wang, Introduction to the special section on video surveillance, Multimedia Systems, vol. 10, pp.116-117, 2004.
4. www.evetoy.com
5. M. Betke, J. Gips, and P. Flemming, The Camera Mouse: Visual tracking of body features to provide computer access for people with severe disabilities, IEEE Trans, on neural systems and rehabilitation eng., vol. 10, pp. 1-9, 2002.
6. J. Cutting and L. Kozlowski, Recognizing friends by their walk: gait perception without familiarity cues, Bulletin of the Psychonomic Society, vol. 9, pp. 353-356, 1977.
7. K. Berg, S. Wood-Dauphmee, and J.I. Williams, The Balance Scale: reliability assessment for elderly residents and patients with an acute stroke, Scandinavian Journal of Rehabilitation Medicine, vol. 27, pp 27-36, 1995.
8. J.K. Aggarwal and Q. Cai, Human motion analysis: a review, Computer Vision and Image Understanding (CVIU), vol. 73, pp. 428-440, 1999.
9. T. B. Moeslund and E. Granum, A survey on computer vision-based human motion capture Computer Vision and Image Understanding (CVIU), vol. 81, pp. 231-268, 2001.
10. R.C. Nelson and R. Polana, Qualitative recognition ofmotion using temporal texture, CVGIP: Imageunderstanding, vol. 56, pp. 78-89, 1992.
11. R. Polana, R.C. Nelson, Detection and recognition ofperiodic, non-rigid motion, International Journal ofComputer Vision, vol. 23, pp. 261-282, 1997.
12. R. Cutler and L.S. Davis, Robust real-time periodicmotion detection, analysis, and applications, IEEE Trans.on Patt. Anal, and Machine Intel!., vol. 2, pp. 781-96,2000.
13. A.F. Bobick and J.W. Davis, The recognition of humanmovement using temporal templates, IEEE Trans, onPatt. Anal, and Machine Intel!., vol. 23, pp. 257-267,2001.
14. J.W. Davis, Hierarchical motion history images forrecognizing human motion, Proc. of IEEE Workshop onDetection and Recognition of Events in Video(EVENT'01), July 2001.
15. M. Valstar, M. Pantic, and I. Patras, Motion History forFacial Action Detection in Video, Proc. of IEEE Int'lConf. on Systems, Man and Cybernetics, pp.635-640, Oct.2004.
16. D. Weinland, R. Ronfard, and E. Boyer, Motion historyvolumes for viewpoint action recognition, IEEEInternational Workshop on modeling People and Human Interaction (PHI'05), 2005.
17. A. Yilmaz and M. Shah, Actions as objects: a novel actionrepresentation, Proc. of IEEE Conf. on Computer VisionPattern Recognition (CVPR), 2005.
18. M. Blank, L. Gorelick, E. Schechtman, M. Irani, R. Basri, Actions as space-time shapes, Proc. of IEEE Conf.on Computer Vision (ICCV), 2005.
19. A. Bobick, S. Intille, J. Davis, F. Baird, L. Campbell, Y. Ivanov, C. Pinhanez, A. Schutte, and A. Wilson, TheKidsRoom: action recognition in an interactive storyenvironment, Presence, 8(4):367-391, 1999.
20. A. Branzan Albu, T. Beugeling, N. Virji-Babul, and C. Beach, Analysis of Irregularities in Human Actions with Volumetric Motion History Images, in Proc. of IEEE Workshop on Motion and Video Computing, Austin, February 2007.