Effective detector and Kalman filter based robust face tracking system

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

Volumn 4319 LNCS, Issue , 2006, Pages 453-462

  Seong, Chi Young ^a   Kang, Byung Du ^a   Kim, Jong Ho ^a   Kim, Sang Kyun ^a  

^a Inje University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

KALMAN FILTERS; SUPPORT VECTOR MACHINES; TRACKING (POSITION);

DYNAMIC INFORMATION; FACE TRACKING SYSTEMS; FRAMES PER SECONDS; HAAR-LIKE FEATURES; PRINCIPAL COMPONENTS; PROCESSING TIME; REAL-TIME TRACKING SYSTEMS; STATIC INFORMATION;

FACE RECOGNITION;

EID: 60349105016     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11949534_45     Document Type: Conference Paper

References (12)

1. Schwerdt, K. and Crowley, J.L.: Robust Face Tracking Using Colour. IEEE Int'l Conf. Automatic Face and Gesture Recognition, (2000) 90-95
2. Birchfield, S.: Elliptical Head Tracking using Intensity Gradient and Color Histograms. IEEE Computer Vision and Pattern Recognition, (1998) 232-237
3. Hager, G. and Toyama, K.: X Vision: A Portable Substrate for Real-Time Vision Applications. Computer Vision and Image Understanding, Vol. 69, No. 1, (1998) 23-37
4. Yao, Z. and Li, H.: Tracking a Detected Face with Dynamic Programming. Image and Vision Computing, Vol. 24, No. 6, (2006) 573-580
5. Johnson, R.A. and Wichern, D.W.: Applied Multivariate Statistical Analysis. Prentice Hall, (2002) 356-395
6. Vapnik, V.: The Nature of Statistical Learning Theory 2nd Edition. Springer, (2001)
7. Viola, P. and Jones, M.J.: Robust Real-Time Face Detection. International Journal of Computer Vision, Vol. 57, No. 2, (2004) 137-154
8. MIT CBCL - Face Database, http://www.ai.mit.edu/projects/cbcl/
9. Welch, G. and Bishop, G.: An Introduction to the Kalman filter. University of North Carolina at Chapel Hill, Department of Computer Science, TR 95-041, (2004)
10. Open-Video, http://www.open-video.com
11. Boston University IVC Head Tracking Video Set, http://www.cs.bu.edu/ groups/ivc/
12. Lienhart, R. and Maydt, J.: An Extended Set of Haar-like Features for Rapid Object Detection. IEEE Int'l Conf. Image Processing, Vol. 1, (2002) 900-903