Documento de conferencia

Biometric and color features fusion for face detection and tracking in natural video sequences

Book Series cp
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volumen: 4528 LNCS
  • Número: PART 2
  • Fecha: 01 diciembre 2007
  • Páginas: 72-80
  • ISSN: 03029743 16113349
  • ISBN: 3540730540
  • Tipo de fuente: Serie de libros
  • Tipo de documento: Documento de conferencia
A system that performs the detection and tracking of a face in real-time in real video sequences is presented in this paper. The face is detected in a complex environment by a model of human colour skin. Very good results are obtained, since the colour segmentation removes almost all the complex background and it is realized to a very high-speed, making the system very robust. On the other hand, fast and stable real-time tracking is then achieved via biometric feature extraction of face using connected components labelling. Tracking does not require a precise initial fit of the model. Therefore, the system is initialised automatically using a very simple 2D face detector based on target ellipsoidal shape. Results are presented showing a significant improvement in detection rates when the whole sequence is used instead of a single image of the face. Experiments in tracking are reported. © Springer-Verlag Berlin Heidelberg 2007.

Palabras clave del autor

    Palabras clave indexadas

      Detalles de financiación