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[Studies in Computational Intelligence 481] Artur Babiarz, Robert Bieda, Karol Jędrasiak, Aleksander Nawrat (auth.), Aleksander Nawrat, Zygmunt Kuś (eds.) - Vision Based Systemsfor UAV Applications (2013, Sprin

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244 H. Josiński et al.<br />

[3] Lu, H., Plataniotis, K.N., Venetsanopoulos, A.N.: MPCA: Multil<strong>in</strong>ear Pr<strong>in</strong>cipal<br />

Component Analysis of Tensor Objects. IEEE Transactions on Neural<br />

Networks 19(1), 18–39 (2008)<br />

[4] Law, M.H.C., Ja<strong>in</strong>, A.K.: Incremental nonl<strong>in</strong>ear dimensionality reduction by<br />

manifold learn<strong>in</strong>g. IEEE Transactions on Pattern Analysis and Mach<strong>in</strong>e<br />

<strong>Intelligence</strong> 28(3), 377–391 (2006)<br />

[5] Pushpa Rani, M., Arumugam, G.: An Efficient Gait Recognition System for Human<br />

Identification Us<strong>in</strong>g Modified ICA. International Journal of Computer Science &<br />

Information Technology 2(1), 55–67 (2010)<br />

[6] Wang, L., Tan, T., N<strong>in</strong>g, H., Hu, W.: Silhouette Analysis-<strong>Based</strong> Gait Recognition<br />

for Human Identification. IEEE Transactions on Pattern Analysis and Mach<strong>in</strong>e<br />

<strong>Intelligence</strong> 25(12), 1505–1518 (2003)<br />

[7] Ali, H., Dargham, J., Ali, C., Moung, E.G.: Gait Recognition us<strong>in</strong>g Pr<strong>in</strong>cipal<br />

Component Analysis. In: Proceed<strong>in</strong>gs of the 3rd International Conference on<br />

Mach<strong>in</strong>e <strong>Vision</strong>, pp. 539–543 (2010)<br />

[8] Sarkar, S., Phillips, P.J., Liu, Z., Vega, I.R., Grother, P., Bowyer, K.W.: The<br />

HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis. IEEE<br />

Transactions on Pattern Analysis and Mach<strong>in</strong>e <strong>Intelligence</strong> 27(12), 162–177 (2005)<br />

[9] Han, J., Bhanu, B.: Individual Recognition Us<strong>in</strong>g Gait Energy Image. IEEE<br />

Transactions on Pattern Analysis and Mach<strong>in</strong>e <strong>Intelligence</strong> 28(2), 316–322 (2006)<br />

[10] Wang, L., N<strong>in</strong>g, H., Hu, W., Tan, T.: Gait Recognition <strong>Based</strong> on Procrustes Shape<br />

Analysis. In: Proceed<strong>in</strong>gs of the 9th International Conference on Image Process<strong>in</strong>g,<br />

pp. III-433–III436 (2002)<br />

[11] Hong, S., Lee, H., Nizami, I.F., An, S.-J., Kim, E.: Human Identification <strong>Based</strong> on<br />

Gait Analysis. In: Proceed<strong>in</strong>gs of the International Conference on Control,<br />

Automation and Systems, pp. 2234–2237 (2007)<br />

[12] Kale, A., Cuntoor, N., Yegnanarayana, B., Rajagopalan, A.N., Chellappa, R.: Gait<br />

Analysis for Human Identification. In: Proceed<strong>in</strong>gs of the 4th International<br />

Conference on Audio- and Video-<strong>Based</strong> Biometric Person Authentication, pp. 706–<br />

714 (2003)<br />

[13] Krzeszowski, T., Kwolek, B., Wojciechowski, K.: Articulated Body Motion<br />

Track<strong>in</strong>g by Comb<strong>in</strong>ed Particle Swarm Optimization and Particle Filter<strong>in</strong>g. In:<br />

Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (<strong>eds</strong>.) ICCVG<br />

2010, Part I. LNCS, vol. 6374, pp. 147–154. Spr<strong>in</strong>ger, Heidelberg (2010)<br />

[14] Zhang, Z., Troje, N.F.: View-<strong>in</strong>dependent person identification from human gait.<br />

Neurocomput<strong>in</strong>g 69, 250–256 (2005)<br />

[15] Świtoński, A., Polański, A., Wojciechowski, K.: Human Identification <strong>Based</strong> on<br />

Gait Paths. In: Blanc-Talon, J., Kleihorst, R., Philips, W., Popescu, D., Scheunders,<br />

P. (<strong>eds</strong>.) ACIVS 2011. LNCS, vol. 6915, pp. 531–542. Spr<strong>in</strong>ger, Heidelberg (2011)<br />

[16] Rab<strong>in</strong>er, L.R., Juang, H.: An Introduction to Hidden Markov Models. IEEE ASSP<br />

Magaz<strong>in</strong>e, 4–16 (1986)<br />

[17] Kale, A., Rajagopalan, A.N., Cuntoor, N., Krüger, V.: Gait-based Recognition of<br />

Humans Us<strong>in</strong>g Cont<strong>in</strong>uous HMMs. In: Proceed<strong>in</strong>gs of the 5th IEEE International<br />

Conference on Automatic Face and Gesture Recognition, pp. 336–341 (2002)<br />

[18] Sundaresan, A., Roy-Chowdhury, A., Chellappa, R.: A Hidden Markov Model<br />

<strong>Based</strong> Framework for Recognition of Humans from Gait Sequences. In:<br />

Proceed<strong>in</strong>gs of the 2003 IEEE International Conference on Image Process<strong>in</strong>g, pp.<br />

II-93–II-96 (2003)

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