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Abstract:

In this paper we propose an algorithm for face segmentation and tracking which is able to obtain the actual shape of a face present in a video sequence and track it in time. The face segmentation step relies on an initial partition of the image, based on color homogeneity, which is fine enough to contain, among others, all the regions that form the face. Since a face contains a set of regions with chrominance homogeneity, the regions of the initial partition are merged following this criterion. The sequence of mergings is represented as a binary tree. For each node in the tree a similarity measure between the node and a face class is calculated. This measure is related to the likelihood of an image of being a face. The node which maximizes this likelihood is selected, giving a first estimate of the face. The final face is obtained by a refinement step that merges the remaining face regions to the face estimate. In the tracking step, the face partition in the previous image is motion compensated (projected) and the final face is obtained by a merging process.

Registro:

Documento: Artículo
Título:A region-based approach to face segmentation and tracking in video sequences
Autor:Vilaplana, V.; Marqués, F.
Filiación:Dto. de Computación, Universidad de Buenos Aires, C. Universitaria, (1428) Buenos Aires, Argentina
Dto. Teoria Senyal i Comunicacions, Univ. Politecnica de Catalunya, C. Jordi Girona 1-3, (08034) Barcelona, Spain
Palabras clave:Face detection; Face segmentation; Face tracking; Principal component analysis
Año:2001
Volumen:31
Número:2
Página de inicio:99
Página de fin:105
Título revista:Latin American Applied Research
Título revista abreviado:Lat. Am. Appl. Res.
ISSN:03270793
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03270793_v31_n2_p99_Vilaplana

Referencias:

  • Brunelli, R., Poggio, T., Face recognition: Features versus templates (1993) IEBE Transactions on Pattern Analysis and Machine Intelligence, 15 (10), pp. 1042-1052
  • Chellappa, R., Wilson, C., Sirohey, S., Human and machine recognition of faces: A survey (1995) Proceedings of the IEEE, 83 (5), pp. 705-740
  • Chen, C., Chiang, S.P., Detection of human faces in colour images (1997) Proc. Vis. Image Signal Processing, 144, pp. 384-388
  • Colmenarez, A., Huang, T.S., Face detection with information-based maximum discrimination (1997) Int. Conf. on Computer Vision and Pattern Recognition, pp. 782-787
  • Craw, I., Ellis, H., Lishman, J., Automatic extraction of face features (1987) Pattern Recognition Letters, 5 (2), pp. 183-187
  • Ekman, P., Huang, T.S., Sejnowski, T.J., (1992) Final Report to NSF of the Planning Workshop on Facial Expression Understanding
  • Yang, G., Huang, T., Human face detetcion in a complex background (1994) Pattern Recognition, 27 (1), pp. 53-63
  • Garrido, L., Salembier, P., Region based analysis of video sequences with a general merging algoritm (1998) European Signal Processing Conference, 3, pp. 1693-1696
  • Govindaraju, V., Srihari, S., Sher, D., Caption-aided face location in newspaper photographs (1992) International Conference on Pattern Recognition, 1, pp. 474-477
  • (1995) MPEG-4 Proposal Package Description
  • Kanade, T., (1997) Picture Processing System by Computer Complex and Recognition of Human Faces, , Birkhauser Verlag Basel
  • Kirby, M., Sirovich, L., Application of the Karhunen-Loeve procedure for the characterization of human faces (1990) Transactions on Pattern Analysis and Machine Intelligence, 12 (1), pp. 103-108
  • Lanitis, A., Taylor, C., Cootes, T., Automatic interpretation and coding of face images using flexible models (1997) Transactions on Pattern Analysis and Machine Intelligence, 19 (7), pp. 743-756
  • Lew, M., Huijsmans, N., Information theory and face detection (1996) International Conference on Pattern Recognition
  • Marqus, F., Llach, J., Tracking of generic objects for video object generation (1998) International Conference on Image Processing, pp. 628-632
  • McKenna, S.J., Gong, S., Wrtz, R., Banin, D., Tanner, J., Tracking facial feature points with gabor wavelets and shape models (1997) International Conference on Audio and Video Based Biometric Person Authentication, pp. 35-42
  • Moghaddam, B., Pentland, A., Probabilistic visual learning for object, representation (1997) Transactions on Pattern Analysis and Machine Intelligence, 19 (7), pp. 696-710
  • Oliver, N., Pentland, A., Berard, F., LAFTER: Lips and face tracking (1997) International Conference on Computer Vision and Pattern Recognition, pp. 123-129
  • Qian, R., Sezan, M.I., Matthews, K.E., A robust real-time face tracking algorithm (1998) International Conference on Image Processing, pp. 131-135
  • Rowley, H., Baluja, S., Kanade, T., Neural network-based face detection (1998) Transactions on Pattern Analysis and Machine Intelligence, 20 (1), pp. 23-28
  • Salembier, P., Garrido, L., Binary partition tree as an efficient representation for filtering, segmentation and information retrieval (2000) Transactions on Image Processing, 9 (4), pp. 561-576
  • Sung, K.K., Poggio, T., Example-based learning for view-based human face detection (1998) Transactiona on Pattern Analysis and Machine Intelligence, 20 (1), pp. 39-51
  • Turk, M., Pentland, A., Eigenfaces for recognition (1991) Journal of Cognitive Neuroscience, 3 (1), pp. 71-86
  • Vilaplana, V., Marqus, F., Salembier, P., Garrido, L., Region-based segmentationand tracking of human faces (1998) European Signal Processing Conference, 1, pp. 311-314
  • Yang, J., Lu, W., Waibel, A., Skin-color modeling and adaptation (1997) Technical Report CMU-CS-97-146, , School of Computer Science, Cargegie Mellon University
  • Yang, M.H., Ahuja, N., Detecting human faces in color images (1998) International Conference on Image Processing, pp. 127-130
  • Yow, K.C., Cipolla, R., Detection of human faces under scale, orientation and viewpoint variations (1996) International Conference on Automatic Face and Gesture Recognition, pp. 295-300
  • Yuille, A., Hallinan, P., Cohen, D., Feature extraction from faces using deformable templates (1992) International Journal of Computer Vision, 8 (2), pp. 99-111

Citas:

---------- APA ----------
Vilaplana, V. & Marqués, F. (2001) . A region-based approach to face segmentation and tracking in video sequences. Latin American Applied Research, 31(2), 99-105.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03270793_v31_n2_p99_Vilaplana [ ]
---------- CHICAGO ----------
Vilaplana, V., Marqués, F. "A region-based approach to face segmentation and tracking in video sequences" . Latin American Applied Research 31, no. 2 (2001) : 99-105.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03270793_v31_n2_p99_Vilaplana [ ]
---------- MLA ----------
Vilaplana, V., Marqués, F. "A region-based approach to face segmentation and tracking in video sequences" . Latin American Applied Research, vol. 31, no. 2, 2001, pp. 99-105.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03270793_v31_n2_p99_Vilaplana [ ]
---------- VANCOUVER ----------
Vilaplana, V., Marqués, F. A region-based approach to face segmentation and tracking in video sequences. Lat. Am. Appl. Res. 2001;31(2):99-105.
Available from: https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03270793_v31_n2_p99_Vilaplana [ ]