Analyzing gait using a time-of-flight camera

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

Volumn 5575 LNCS, Issue , 2009, Pages 21-30

  Jensen, Rasmus R ^a   Paulsen, Rasmus R ^a   Larsen, Rasmus ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Computer vision; Gait analysis; Markov random fields; Time of flight camera

Indexed keywords

CARTESIAN COORDINATE; DEPTH MAP; GAIT CYCLES; HUMAN GAIT ANALYSIS; MARKOV RANDOM FIELDS; OUTPUT DATA; OUTPUT PARAMETERS; POSE ESTIMATION; RANGE OF MOTIONS; SEQUENTIAL MODEL; SHAPE PRIORS; SPATIAL DATA; STEP LENGTH; STRIDE LENGTH; TIME-OF-FLIGHT CAMERA; TIME-OF-FLIGHT CAMERAS; USER INTERACTION;

COMPUTER VISION; GAIT ANALYSIS; HIDDEN MARKOV MODELS; IMAGE ANALYSIS; IMAGE SEGMENTATION;

CAMERAS;

EID: 70350638854     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02230-2_3     Document Type: Conference Paper

References (13)

1. Artts (2009), http://www.artts.eu
2. Mesa (2009), http://www.mesa-imaging.ch
3. Alkjaer, E.B., Simonsen, T., Dygre-Poulsen, P.: Comparison of inverse dynamics calculated by two- and three-dimensional models during walking. In: 2001 Gait and Posture, pp. 73-77 (2001)
4. Besag, J.: On the statistical analysis of dirty pictures. Journal of the Royal Statistical Society. Series B (Methodological) 48(3), 259-302 (1986)
5. Bray, M., Kohli, P., Torr, P.H.S.: Posecut: simultaneous segmentation and 3D pose estimation of humans using dynamic graph-cuts. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 642-655. Springer, Heidelberg (2006)
6. Kolmogorov, V., Zabin, R.: What energy functions can be minimized via graph cuts? IEEE Transactions on Pattern Analysis and Machine Intelligence 26(2), 147-159 (2004)
7. Latt, M.D., Menz, H.B., Fung, V.S., Lord, S.R.: Walking speed, cadence and step length are selected to optimize the stability of head and pelvis accelerations. Experimental Brain Research 184(2), 201-209 (2008)
8. Nikolova, G.S., Toshev, Y.E.: Estimation of male and female body segment parameters of the bulgarian population using a 16-segmental mathematical model. Journal of Biomechanics 40(16), 3700-3707 (2007)
9. Shakhnarovich, G., Viola, P., Darrell, T.: Fast pose estimation with parametersensitive hashing. In: Proceedings Ninth IEEE International Conference on Computer Vision, vol. 2, pp. 750-757 (2003)
10. Stauffer, C., Grimson, W.E.L.: Adaptive background mixture models for real-time tracking. In: Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), vol. 2, pp. 246-252 (1999)
11. Wan, C., Yuan, B., Miao, Z.: Markerless human body motion capture using Markov random field and dynamic graph cuts. Visual Computer 24(5), 373-380 (2008)
12. Ye, Q.-Z.: The signed Euclidean distance transform and its applications. In: 1988 Proceedings of 9th International Conference on Pattern Recognition, vol. 1, pp. 495-499 (1988)
13. Zhu, Y., Dariush, B., Fujimura, K.: Controlled human pose estimation from depth image streams. In: 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops), pp. 1-8 (2008)