Mutual feedback scheme for face detection and tracking aimed at density estimation in demonstrations

IEE Proceedings: Vision, Image and Signal Processing

Volumn 152, Issue 3, 2005, Pages 334-346

  Casas, J R ^a   Sitjes, A Puig ^a   Folch, P Puig ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER VISION; FEEDBACK CONTROL; IMAGE ANALYSIS; IMAGE SEGMENTATION; TRACKING (POSITION); VECTOR QUANTIZATION;

FACE DETECTION; SPATIAL DETECTION; TEMPORAL TRACKING ALGORITHMS; VIDEO SEQUENCES;

FACE RECOGNITION;

EID: 21244462281     PISSN: 1350245X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/ip-vis:20045071     Document Type: Conference Paper

References (28)

1. Marana, A.N., Costa, L.F., Lotufo, R.A., and Velaslin, S.A.: 'On the efficacy of texture analysis for crowd monitoring', Proc. of Computer Graphics, Image Processing, and Vision, Rio de Janeiro, Brazil, 1998, pp. 354-361
2. Regazzoni, S., Tcsei, A., and Murino, V.: 'A real-time vision system for crowding monitoring', Proc. of the Int. Conf. on Industrial Electronics (IECON), 1993, 3, pp. 1860-1864
3. Oren, M., Papageorgiou, C. Sinha, P., Osuna, E., and Poggio, T.: 'Pedestrian detection using wavelet templates', Proc. of the IEEE Comp. Soc. Conf. Computer Vision and Pattern Recognition, 1997, pp. 193-199
4. Yang, M.H., Kriegman, D.J., and Ahuja, N.: 'Detecting faces in images: a survey', IEEE Trans. Pattern Anal. Mach. Intell., 2002, 24, (1), pp. 34
5. Rowley, H., Baluja, S., and Kanade, T.: 'Neural network-based face detection', Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, San Francisco (California), 1996, pp. 203-207
6. Lin, S.F., Chen, J. Y., and Chao, H.X.: 'Estimation of number of people in crowded scenes using perspective transformation', IEEE Trans. Syst. Man Cybern. A Syst. Humans, 2001, 31, (6), pp. 645-654
7. Terrillon, J., Shirazi, M.N., Fukamachi, H., and Akamatsu, S.: 'Comparative performance of different skin chrominance models and chrominance spaces for the automatic detection of human faces in color images', Fourth IEEE Int. Conf. on Automatic Face and Gesture Recognition, Grenoble (France), March 2000
8. de Dios, J.J., and García, N.: 'Face detection base on a new color space YCgCr', Proc. of Int. Conf. on Image Processing (ICIP), Barcelona, Spain, September 2003
9. Yang, J., Stiefelhagen, R., Meier, U., and Waibel, A.: 'Real-time face and facial feature tracking and applications', Proc. of AVSP, Terrigal, Australia, 1998, pp. 79-84
10. Yang, M.H., and Ahuja, N.: 'Gaussian mixture model for human skin color and its application in image and video databases', Proc. SPIE, Conf. on Storage and Retrieval for Image and Video Databases (SPIE), San Jose, 1999, 3656, pp. 458-466
11. Jones, M.J., and Rehg, J.M.: 'Statistical color models with application to skin detection', Technical report. Cambridge Res. Lab., Compaq Comput. Corp., 1998
12. Gu, L., and Bone, D.: 'Skin colour region detection in MPEG video sequences', Proc. of Int. Conf. on Image Analysis and Processing (ICIAP), Venice, Italy, September 1999
13. Caetano, T.S., Olabarriaga, S.D., and Barone, D.A.C.: 'Performance evaluation of single and multiple-gaussian models for skin color modeling', Proc. of the XV Brazilian Symp. on Computer Graphics and Image Processing (SIBGRAPI). Brazil, 2002
14. Yang, J., Weier, L., and Waibel, A.: 'Skin-color modeling and adaptation', Proc. ACCV'98, Technical Report CMU-CS-97-146, CS department, CMU, 1997
15. Trier, O.D., and Jian, A.K.: 'Goal-directed evaluation of binarization methods', IEEE Trans. Pattern Anal. Mach. Intell., 1995, 17, (12), pp. 1191-1201
16. Yang, M.H., and Ahuja, N.: 'Detecting human faces in color images', Proc. Int. Conf. on Image Processing, 1, 1998, pp. 127-130
17. Phung, S.L., Bouzerdoum, A., and Chai, D.: 'A novel skin color model in YCbCr color space and its applications to human face detection', Proc. IEEE Int. Conf. on Image Processing, Rochester, New York, USA, September 2002
18. Calabi, L., and Hartnett, W.: 'Shape recognition, prairie fires, convex deficiencies and skeletons', Technical Report 1, Parke Math. Lab. Inc., One River Road, Carlisle MA, 1966
19. Vincent, L.: 'Mathematical morphology', in Dougherty, E. (Ed.): 'Image processing' (Marcel-Dekker, New York, 1992), pp. 255-288
20. Vincent, L., and Soille, P.: 'Watersheds in digital spaces: an efficient algorithm based on immersion simulations', IEEE Trans. Pattern Anal. Mach. Intell., 1991, 13, (6), pp. 583-598
21. Horn, B.K.P., and Schunck, B.C.: 'Determining optical flow', Artif. Inteli, 1981, 17, pp. 185-204
22. El-Feghali, R., and Mitiche, A.: 'Fast computation of a boundary preserving estimate of optical flow', Proc. British Machine Vision Conf., BMVC, Bristol, UK, September 2000
23. Lucas, B., and Kanade, T.: 'An iterative image registration technique with an application to stereo vision', Proc. 7th Int. Joint Conf. on Artificial Intelligence (IJCAI), 1981, pp. 674-679
24. Barron, J.L., Fleet, D.J., and Beauchemin, S.: 'Performance of optical flow techniques', Proc. Int. Joint Conf. of Computer Vision, 1994, 12, (1) pp. 43-77
25. Simoncelli, E.P., Adelson, E.H., and Heeger, D.J.: 'Probability distributions of optical flow, computer vision and pattern recognition', Proc. IEEE Computer Society Con. Pattern Recognition CVPR, 3-6 June 1991
26. Wang, J.Y.A., and Adelson, E.H.: 'Spatio-temporal segmentation of video data', Proc. SPIE: Image and Video Processing, 1994, II, p. 2182
27. Gomila, C., and Meyer, F.: 'Graph-based object tracking', Proc. Int. Conf. Image Processing (ICIP), Barcelona, Spain, September 2003
28. Gomila, C.: 'Mise en correspondance de partitions en vue du suivi d'objets', PhD Thesis, École des Mines de Paris, 2001