Multi-view multi-modal gait based human identity recognition from surveillance videos

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

Volumn 7742 LNAI, Issue , 2013, Pages 88-99

  Hossain, Emdad ^a   Chetty, Girija ^a   Goecke, Roland ^a  

^a UNIVERSITY OF CANBERRA   (Australia)

Author keywords

feature fusion; identification; LDA; MLP; multimodal; multiview; PCA; SMO

Indexed keywords

FEATURE FUSION; LDA; MLP; MULTI-MODAL; MULTI-VIEWS; PCA; SMO;

BIOMETRICS; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; IDENTIFICATION (CONTROL SYSTEMS); MONITORING;

SECURITY SYSTEMS;

EID: 84875185983     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37081-6_11     Document Type: Conference Paper

References (21)

1. Zheng, S.: CASIA Gait Database collected by Institute of Automation, Chinese Academy of Sciences, CASIA Gait Database, http://www.sinobiometrics.com
2. Huang, L.: Person Recognition By Feature Fusion, Dept. of Engineering Technology Metropolitan State College of Denver. IEEE, Denver (2011)
3. Bringer, J., Chabanne, H.: Biometric Identification Paradigm Towards Privacy and Confidentiality Protection. In: Nichols, E.R. (ed.) Biometric: Theory, Application and Issues, pp. 123-141 (2011)
4. Jain, A.K.: Next Generation Biometrics. Department of Computer Science & Engineering, Michigan State University, Department of Brain & Cognitive Engineering, Korea University (2009)
5. Yampolskiy, R.V., Govindaraja, V.: Taxonomy of Behavioral Biometrics. Behavioral Biometrics for Human Identification, 1-43 (2010)
6. Meraoumia, A., Chitroub, S., Bouridane, A.: Fusion of Finger-Knuckle-Print and Palmprint for an Efficient Multi-biometric System of Person Recognition. IEEE Communications Society Subject Matter Experts for Publication in the IEEE ICC (2011)
7. Berretti, S., Bimbo, A., Pala, P.: 3D face recognaition using isogeodesic stripes. IEEE Transaction on Pattern Analysis and Machine Intelligence 32(12) (2010)
8. Yuan, L., Mu, Z., Xu, Z.: Using Ear Biometrics for Personal Recognition,School of Information Engineering, Univ. of Science and Technology Beijing. Beijing 100083, http://yuanli64hotmail.com
9. Ross, A., Jain, A.K.: Information fusion in biometrics. Pattern Recognition Letters 24, 2115-2125 (2003)
10. Jain, A.K., Hong, L., Kulkarni, Y.: A multimodal biometric system using fingerprints, face and speech. In: 2nd. Int'l. Conf. AVBPA, vol. (10), pp. 182-187 (1999)
11. Wang, Y., Tan, T., Jain, A.K.: Combining Face and Iris Biometrics for Identity Verification. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 805-813. Springer, Heidelberg (2003)
12. Chang, K., et al.: Comparison and Combination of Ear and Face Images in Appearance-Based Biometrics. IEEE Trans. PAMI 25, 1160-1165 (2003)
13. Kittler, J., et al.: On combining classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 20, 226-239 (1998)
14. Smith, L.I.: A tutorial on Principal Components Analysis
15. Linear discriminant analysis, Wikipedia, http://www.wikipedia.org
16. Multi Layer Perceptron, http://www.neoroph.sourceforge.net
17. Platt, J.C.: Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines, Microsoft Research. Technical Report MSR-TR-98-14 (17) (1998), http://jplatt@microsoft.com
18. Shlizerman, I.K., Basri, R.: 3D Face Reconstruction from a Single Image Using a Single Reference Face Shape. IEEE Transactions on Pattern Analysis and Machine Intelligence 33(2) (2011)
19. Hossain, E., Chetty, G.: Multimodal Identity Verification Based on Learning Face and Gait Cues. In: Lu, B.-L., Zhang, L., Kwok, J. (eds.) ICONIP 2011, Part III. LNCS, vol. 7064, pp. 1-8. Springer, Heidelberg (2011)
20. Chin, Y.J., Ong, T.S., Teoh, A.B.J., Goh, M.K.O.: Multimodal Biometrics based Bit Extraction Method for Template Security. In: Faculty of Information Science and Technology, Multimedia University, Malaysia, School of Electrical and Electronic Engineering, Yonsei University, IEEE, Seoul (2011)
21. Multilayer Perceptron Neural Networks, The Multilayer Perceptron Neural Network Model, http://www.dtreg.com