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

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Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Intelligent and Soft Computing
EditorsHongwei Wang, Yi Shen, Zhigang Zeng, Tingwen Huang
PublisherSpringer Verlag
Pages481-490
Number of pages10
ISBN (Electronic)9783642012150
StatePublished - 2009
Event6th International Symposium of Neural Networks, ISNN 2009 - Wuhan, China
Duration: 26 May 200929 May 2009

Publication series

NameAdvances in Intelligent and Soft Computing
Volume56
ISSN (Print)1867-5662
ISSN (Electronic)1860-0794

Conference

Conference6th International Symposium of Neural Networks, ISNN 2009
Country/TerritoryChina
CityWuhan
Period26/05/0929/05/09

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