Recognising humans by gait via parametric canonical space

Artificial Intelligence in Engineering

Volumn 13, Issue 4, 1999, Pages 359-366

  Huang, P S ^a,b   Harris, C J ^a   Nixon, M S ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b NATIONAL DEFENSE UNIVERSITY   (Taiwan)

Author keywords

Canonical analysis; Eigenspace; Gait recognition; Principal component analysis; Template matching

Indexed keywords

DATA REDUCTION; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; GAIT ANALYSIS; MATHEMATICAL TRANSFORMATIONS; STATISTICAL METHODS;

CANONICAL SPACE TRANSFORMATIONS (CST); EIGENSPACE TRANSFORMATIONS (EST); PRINCIPAL COMPONENT ANALYSIS (PCA); TEMPLATE MATCHING;

OBJECT RECOGNITION;

EID: 0033317984     PISSN: 09541810     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0954-1810(99)00008-4     Document Type: Article

References (21)

1. Cutting JE, Kozlowski LT. Recognizing friends by their walk: gait perception without familiarity cues. Bulletin of the Psychonomic Society 1977;9(5):353-6.
2. Niyogi SA, Adelson EH. Analysis and recognizing walking figures in XYT. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, June 1994. p. 469-74.
3. Kass M, Witkin A, Terzopoulos D. Snakes: active contour models. International Journal of Computer Vision 1988;12(1):321-31.
4. Cunado D, Nixon MS, Carter JN. Using gait as a biometric, via phaseweighted magnitude spectra. In: Proceedings of the First International Conference, AVBPA97, Crans-Montana, Switzerland, March 1997. p. 95-102.
5. Little J, Boyd J. Recognizing people by their gait: the shape of motion. MIT Press Journal-Videre 1998;l(2):l-32.
6. Murase H, Sakai R. Moving object recognition in eigenspace representation: gait analysis and lip reading. Pattern Recognition Letters 1996;17:155-62.
7. Kirby M, Sirovich L. Application of the Karhunen-Loève procedure for the characterization of human faces. IEEE Transactions on Pattern Analysis and Machine Intelligence 1990;12(l):103-8.
8. Turk M, Pentaland A. Eigenfaces for recognition. Journal of Cognitive Neuroscience 1991;3:71-86.
9. Bledsoe W. Man machine facial recognition, Research Paper No. RPI-22, Panoramic Research Inc., Palo Alto, California, USA, 1966.
10. Samal A, lyengar P. Automatic recognition and analysis of human faces and facial expressions: a survey. Pattern Recognition 1992;25:65-77.
11. Chellappa R, Wilson CL, Sirohey S. Human and machine recognition effaces: a survey. Proceedings of the IEEE 1995;83(5):705-40.
12. Brunelli R, Poggio T. Face recognition: features versus templates. IEEE Transactions on Pattern Analysis and Machine Intelligence 1993;15(10):1042-52.
13. Jia X, Nixon MS. Extending the feature vector for automatic face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 1995; 17( 12): 1167-76.
14. Valentin D, Abdi H, O'Toole AJ, Cottrell GW. Connectionist models efface processing: a survey. Pattern Recognition 1994;27:1209-30.
15. Etemad K, Chellappa R. Discriminant analysis for recognition of human face images. Journal of the Optical Society of America-Series A 1997;14(8):1724-33.
16. Swets DL, Weng JJ. Using discriminant eigenfeatures for image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelli-gence 1996;18(8):831-6.
17. Belhumeur PN, Hespanha JP, Kriegman DJ. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Transactions on Pattern Analysis Machine Intelligence 1997; 19(7):711-20.
18. Murakami H, Kumar V. Efficient calculation of primary images from a set of images. IEEE Transactions on Pattern Analysis and Machine Intelligence 1982;4(5):511-5.
19. Fukunaga K. Introduction to statistical pattern recognition. 2. New York: Academic Press, 1990.
20. Richards JA. Remote sensing digital image analysis: an introduction. 2. Berlin: Springer, 1993.
21. Dubuisson M-P, Jain AK. Contour extraction of moving objects in complex out-door scenes. International Journal of Computer Vision 1995;14(6):83-105.