Detection and following of a face in movement using a neural network

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Resumen

In this paper, a system that uses smaller time in the detection of one person in one environment with controlled light is proposed. To reach this result the following 3 steps are used: 1) Detection of the movement; this fact consist in detecting the object (the object is a person); 2) Detecting of the face, the face is found in one image in movement, considering a camera and a fuzzy neural network. 3) Detecting of the person in movement. The camera is moved in the direction of the person in movement using the prediction of the position using the Kalman filter algorithm. This system is implemented in real time.

Idioma originalInglés
Título de la publicación alojadaAdvances in Intelligent and Soft Computing
EditoresHongwei Wang, Yi Shen, Zhigang Zeng, Tingwen Huang
EditorialSpringer Verlag
Páginas481-490
Número de páginas10
ISBN (versión digital)9783642012150
EstadoPublicada - 2009
Evento6th International Symposium of Neural Networks, ISNN 2009 - Wuhan, China
Duración: 26 may. 200929 may. 2009

Serie de la publicación

NombreAdvances in Intelligent and Soft Computing
Volumen56
ISSN (versión impresa)1867-5662
ISSN (versión digital)1860-0794

Conferencia

Conferencia6th International Symposium of Neural Networks, ISNN 2009
País/TerritorioChina
CiudadWuhan
Período26/05/0929/05/09

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