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Boyd, J.E., Little, J.J.: Advanced Studies in Biometrics: Summer School on Biometrics, Alghero, Italy, June 2–6, 2003, Revised Selected Lectures and Papers (Lecture Notes on Computer Science), vol. 3161/2005, chap. Biometric Gait Recognition, pp. 19–42. Springer (2005)
Cutting, J.E., Kozlowski, L.T.: Recognizing friends by their walk: gait perception without familiarity cues. Bull. Psychonomic Soc. 9(5), 353–356 (1977)
McGeer, T.: Passive dynamic walking. Int. J. Robot. Res. 9(2), 62–82 (1990)
McGeer, T.: Passive walking with knees. In: IEEE International Conference on Robotics and Automation, pp. 1640–1645 (1990)
Kuo, A.D.: A simple model of bipedal walking predicts the preferred speed-step length relationship. J. Biomech. Eng. 123, 264–269 (2001)
Kuo, A.D.: Energetics of actively powered locomotion using the simplest walking model. J. Biomech. Eng. 124, 113–120 (2002)
von Tscharner, V., Goepfert, B.: Gender dependent emgs of runners resolved by time/frequency and principal pattern analysis. J. Electromyogr. Kines. 13, 253–272 (2003)
Baumberg, A.M., Hogg, D.C.: Generating spatiotemporal models from examples. In: Sixth British Conference on Machine Vision, Vol. 2, pp. 413–422. Birmingham, UK (1995)
Brinkmann, R.: The Art and Science of Digital Compositing. Morgan-Kaufmann, San Diego, CA (1999)
Stauffer, C., Grimson, W.E.L.: Adaptive background mixture models for real-time tracking. In: Computer Vision and Pattern Recognition, vol. II, pp. 246–252. Fort Collins, CO, USA (1998)
Barron, J.L., Fleet, D.J., Beauchemin, S.: Performance of optical flow techniques. Int. J. Comput. Vision 12(1), 43–77 (1994)
Troje, N.F.: Decomposing biological motion: a framwork for analysis and synthesis of human gait patterns. J. Vision 2, 371–387 (2002)
Omlor, L., Giese, M.A.: Extraction of spatio-temporal primitives of emotional body expressions. Neurocomputing 70(10–12), 1938–1942 (2007)
Little, J.J., Boyd, J.E.: Recognizing people by their gait: the shape of motion. Videre 1(2), 1–32 (1998)
Ben-Abdelkader, C., Cutler, R., Davis, L.: Person identification using automatic height and stride estimation. In: 16th International Conference on Pattern Recognition, pp. 377–380. Quebec, Quebec (2002)
Ballard, D.H., Brown, C.M.: Computer Vision. Prentice-Hall, Englewood Cliffs, NJ (1982)
Shulter, J.D., Nixon, M.S.: Zernike velocity moments for sequence-based descriptiion of moving features. Image and Vision Computing 24, 343–356 (2006)
Ben-Abdelkader, C. Cutler, R., Davis, L.: Motion-based recognition of people in eigengait space. In: 5th IEEE International Conference on Automatic Face and Gesture Recognition, 267–272 (2002)
Hayfron-Acquah, J.B., Nixon, M.S., Carter, J.N.: Automatic gait recognition by symmetry analysis. Pattern Recogn. Lett. 24, 2175–2183 (2003)
Boyd, J.E.: Synchronization of oscillations for machine perception of gaits. Comput. Vision Image Understand. 96, 35–59 (2004)
Bobick, A., Johnson, A.: Gait recognitin using static activity-specific parameters. In: Computer Vision and Pattern Recognition 2001, Vol. I, pp. 423–430. Kauai, HI (2001)
Collins, R.T., Gross, R., Shi, J.: Silhouette-based human identification from body shape and gait. In: Automatic Face and Gesture Recognition, pp. 351–356. Washington DC (2002)
Gross, R., Shi, J.: The cmu motion of body (mobo) database. Tech. Rep. CMU-RI-TR-01-18, Robotics Institute, Carnegie Mellon University (2001)
Sarkar, S., Phillips, J., Liu, Z., Robledo, I., Prother, P., Bowyer, K.W.: The humanid gait challenge problem: data sets, performance, and analysis. IEEE Trans. Pattern Analy. Mach. Intell. 27(2), 162–177 (2005)
Shutler, J., Grant, M., Nixon, M., Carter, J.: On a large sequence-based human gait database. In: Fourth International Conference on Recent Advances in Soft Computing, pp. 66–71. Nottingham, UK (2002)
Bhanu, B., Han, J.: Bayesian-based performance prediction for gait recognition. In: IEEE Workshop on Motion and Video Computing, pp. 145–150. Orlando, Florida (2002)
Liu, Z., Sarkar, S.: Improved gait recognition by gait dynamics normalization. IEEE Trans. Pattern Analy. Mach. Intell. 28(6), 863–876 (2006)
Robledo, I., Sarkar, S.: Statistical motion model based on the change of feature relationships: human gait-based recognition. IEEE Trans. Pattern Analy. Mach. Intell. 25(10), 1323–1328 (2003)
Lee, L., Grimson, W.: Gait analysis for recognition and classification. In: Automatic Face and Gesture Recognition, pp. 148–155. Washington DC (2002)
Wang, L., Tan, T., Ning, H., Hu, W.: Silhouette analysis-based gait recognition for human identification. IEEE Trans. Pattern Analy. Mach. Intell. 25(12), 1505–1518 (2003)
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Boyd, J.E., Little, J.J. (2009). Gait Recognition, Silhouette-Based. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_36
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