Evaluating the efficiency of a night-time, middle-range infrared sensor for applications in human detection and recognition

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8355, Issue , 2012, Pages

  Bourlai, Thirimachos ^a   Von Dollen, John ^a   Mavridis, Nikolaos ^b   Kolanko, Christopher ^a  

^a WEST VIRGINIA UNIVERSITY   (United States)

^b NEW YORK UNIVERSITY ABU DHABI   (United Arab Emirates)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERA SYSTEMS; FACE IMAGES; FACE RECOGNITION TECHNIQUE; HUMAN DETECTION; INFRA-RED SENSOR; NEAR-INFRARED SENSORS; NIR SPECTRUM; POTENTIAL THREATS; RECOGNITION PERFORMANCE; SECURITY APPLICATION; STAND-OFF DISTANCE (SOD); TRACE EVIDENCES;

IMAGING SYSTEMS; INFRARED DETECTORS; INFRARED IMAGING; SENSORS;

FACE RECOGNITION;

EID: 84864373377     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.917831     Document Type: Conference Paper

References (26)

1. Anil K. Jain, Patrick Flynn, and A. Ross. Handbook of Biometrics. Springer, 2007.
2. D. S. Bolme, J. R. Beveridge, M. L. Teixeira, and B. A. Draper. The CSU face identi cation evaluation system: Its purpose, features and structure. In Proc. International Conference on Vision Systems, pages 304-311, Graz, Austria, April 2003.
3. W. Zhao, R. Chellappa, A. Rosenfeld, and P. Phillips. Face recognition: A literature survey. ACM Computing Surveys, pages 399-458, 2003.
4. M. Turk and A. Pentland. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1):71-86, 1991.
5. A. Pentland, B. Moghaddam, and T. Starner. View-based and modular eigenspaces for face recognition. IEEE Conference on Computer Vision and Pattern Recognition, pages 84-91, 1994.
6. J. Yang, D. Zhang, A. Frangi, and J. Yang. Two-dimensional pca: a new approach to appearance based face representation and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26:131-137, 2004.
7. L. Wiskott, J.-M. Fellous, N. Kruger, and C. Von Der Malsburg. Face recognition by elastic bunch graph matching. IEEE International Conference on Image Processing, pages 129-132, 1997.
8. P.N. Belhumeur, J. Hespanha, and D. J. Kriegman. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. Transactions on Pattern Analysis and Machine Intelligence, 19:45-58, 1996.
9. Rama Chellappa, Jie Ni, and Vishal M. Patel. Remote identification of faces: Problems, prospects, and progress. Pattern Recognition Letters, 2011.
10. Jie Ni and Rama Chellappa. Evaluation of state-of-the-art algorithms for remote face recognition. IEEE International Conference on Image Processing, 2010.
11. Y. Yao, B. R. Abidi, R. Besma, N. D. Kalka, N. A. Schmid, M. A. Abidi, and A. Mongi. Improving long range and high magnification face recognition: Database acquisition, evaluation, and enhancement. Computer Vision and Image Understanding, 111(2).
12. D. Rosario. Spectral lwir imaging for remote face detectionn. IEEE International Geoscience and Remote Sensing Symposium.
13. Meng Ao, Dong Yi, Zhen Lei, and Stan Z. Li. Handbook of Remote Biometrics for Surveillance and Security. Advances in Computer Vision and Pattern Recognition Series, Springer, 2009.
14. P.J. Phillips, H. Wechsler, J. Huang, and P.J. Rauss. The feret database and evaluation procedure for face-recognition algorithms. Image and Vision Computing.
15. P.J. Phillips, P.J. Flynn, T. Scruggs, K.W. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, and W.Worek. Overview of the face recognition grand challenge. In IEEE International Conference on Computer Vision and Pattern Recognition, page 947954, 2005.
16. T. Bourlai, C. Whitelam, and I. Kakadiaris. Pupil detection under lighting and pose variations in the visible and active infrared bands. In IEEE Workshop on Information Forensics and Security, 2011.
17. L. Sirovich and M. Kirby. Application of the karhunen-loeve procedure for the characterization of human faces. Transactions on Pattern Analysis and Machine Intelligence, 12(1):103-108, 1990.
18. A. P. Devijver and J. Kittler. Pattern recognition: A statistical approach. Prentice-Hall, Englewood Cliffs, N. J., 1982.
19. M. Teixeira. The bayesian intrapersonal/extrapersonal classifier. Master's thesis, Colorado State University, Fort Collins, Colorado 80523 U.S.A., 2003.
20. Nathan Kalka, Thirimachos Bourlai, Bojan Cukic, and Lawrence Hornak. Cross-spectral Face recognition in Heterogeneous Environments: A Case Study on Matching Visible to Short-wave Infrared Imagery. In International Joint Conference on Biometrics, 2011.
21. Thirimachos Bourlai, Nathan Kalka, Arun Ross, Bojan Cukic, and Lawrence Hornak. Cross-spectral face verification in Short Infrared Band. In International Conference on Pattern Recognition, 2010.
22. T. Bourlai, A. Ross, and A. Jain. Restoring degraded face images for matching faxed or scanned photos. IEEE Transactions on Information Forensics and Security, 6:371-384, June 2011.
23. A. Torralba. Contextual priming for object detection. International Journal of Computer Vision, 53:169-191, 2003.
24. D. Hoiem, A. A. Efros, and M. Hebert. Putting objects in perspective. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2:2137-2144, 2006.
25. Z. Stone, T. Zickler, and T. Darrell. Autotagging facebook: Social network context improves photo annotation. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Workshop on Internet Vision, pages 1-8, 2008.
26. N. Mavridis, W. Kazmi, and P. Toulis. Friends with Faces: How Social Networks Can Enhance Face Recognition and Vice Versa, pages 453-482. Computational Social Networks Analysis: Trends, Tools and Research Advances, by Springer, 2010.