Information Technology Reference
In-Depth Information
4. Bentham, J.: Panopticon; or, the inspection-house: Containing the idea of a new principle
of construction applicable to any sort of establishment, in which persons of any descrip-
tion are to be kept under inspection; and in particular to penitentiary-houses (1843),
http://oll.libertyfund.org/
5. Bradski, G.R., Kaehler, A.: Learning OpenCV (2008)
6. Daugman, J.: High confidence visual recognition of persons by a test of statistical in-
dependence. IEEE Transactions on Pattern Analysis and Machine Intelligence 15(11),
1148-1161 (1993)
7. Forsyth, D., Ponce, J.: Computer vision: a modern approach. Prentice Hall, Upper Saddle
River (2003)
8. Freund, Y., Schapire, R.: A decision-theoretic generalization of on-line learning and
an application to boosting. Journal of Computer and System Sciences 55(1), 119-139
(1997)
9. Funahashi, T., Fujiwara, T., Koshimizu, H.: Hierarchical tracking of face, facial parts and
their contours with PTZ camera. In: 2004 IEEE International Conference on Industrial
Technology (ICIT), pp. 198-203. IEEE, Los Alamitos (2004)
10. Hsu, R., Abdel-Mottaleb, M., Jain, A.: Face detection in color images. IEEE Transactions
on Pattern Analysis and Machine Intelligence 24(5), 696-706 (2002)
11. Isard, M., Blake, A.: Condensation — conditional density propagation for visual track-
ing. International Journal of Computer Vision 29(1), 5-28 (1998)
12. Islam, S., Bennamoun, M., Davies, R.: Fast and fully automatic ear detection using
cascaded AdaBoost. In: 2008 IEEE Workshop on Applications of Computer Vision,
IEEE Workshop on Applications of Computer Vision, pp. 205-210. IEEE, Los Alamitos
(2008)
13. Jiang, R.M., Crookes, D.: Multimodal biometric human recognition for perceptual
human-computer interaction (draft). IEEE Transactions on Systems, Man and Cyber-
netics (2010)
14. Kawaguchi, T., Rizon, M., Hidaka, D.: Detection of eyes from human faces by hough
transform and separability filter. Electronics and Communications in Japan Part II-
Electronics 88(5), 29-39 (2005), doi:10.1002/ecjb.20178
15. Klauser, F.: Interacting forms of expertise in security governance: the example of CCTV
surveillance at Geneva International Airport. British Journal of Sociology 60(2), 279-
297 (2009), doi:10.1111/j.1468-4446.2009.01231.x
16. Lienhart, R., Maydt, J.: An extended set of haar-like features for rapid object detection.
In: Proceedings of IEEE International Conference on Image Processing (ICIP), IEEE
Signal Proc. Soc. 2002, vol. I, pp. 900-903. IEEE, Los Alamitos (2002)
17. Lin, J., Ming, J., Crookes, D.: A probabilistic union approach to robust face recogni-
tion with partial distortion and occlusion. In: 2008 IEEE International Conference on
Acoustics Speech and Signal Processing (ICASSP), vol. 1-12, pp. 993-996. IEEE, Los
Alamitos (2008)
18. News, B.: 1,000 cameras 'solve one crime' (August 24, 2009),
http://news.bbc.co.uk/1/hi/8219022.stm
19. Nor'aini, A., Raveendran, P.: Improving face recognition using combination of global
and local features. In: 2009 6th International Symposium on Mechatronics and its Ap-
plications (ISMA), pp. 433-438. IEEE, Los Alamitos (2009)
20. Norris, C.: The Maximum Surveillance Society: the Rise of CCTV. Berg, Oxford (1999)
21. Norris, C., Armstrong, G.: Space invaders: The reality of a CCTV control room in
Northern England raises the old question, “Who guards the guards?”. Index on Cen-
sorship 29(3), 50-52 (2000)
 
Search WWH ::




Custom Search