Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference Proceedings (SPA) , 2010-09-23

Title : ( Exploiting Fuzzy Approximator to Head Pose Estimation )

Authors: Maryam Baradaran -Khalkhal iI , Seyed Kazem Shekofteh , Saeed Toosizadeh , Mohammad Reza Akbarzadeh Totonchi ,

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Head pose estimation is an important problem in computer vision and also a key task for visual surveillance, human computer interaction and face recognition applications. Most of the works in this field suffer from lack of continuous estimating of the head pose. Fuzzy systems are known as universal approximator capable of approximating an unknown function by having just few limited information. In this paper, a new approach is proposed for estimating the rotation angle of the head along horizontal axis based on a fuzzy approximator which is able to provide a continuous estimate of the head along horizontal axis with high acceptable accuracy, low computational cost while avoiding from getting involved into complex mathematical equations. Experiments proved our claim that.

Keywords

, Head pose estimation, Fuzz, y
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@inproceedings{paperid:1026613,
author = {Maryam Baradaran -Khalkhal II and Shekofteh, Seyed Kazem and Saeed Toosizadeh and Akbarzadeh Totonchi, Mohammad Reza},
title = {Exploiting Fuzzy Approximator to Head Pose Estimation},
booktitle = {Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference Proceedings (SPA)},
year = {2010},
location = {pol},
keywords = {Head pose estimation; Fuzz;y approximator},
}

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%0 Conference Proceedings
%T Exploiting Fuzzy Approximator to Head Pose Estimation
%A Maryam Baradaran -Khalkhal II
%A Shekofteh, Seyed Kazem
%A Saeed Toosizadeh
%A Akbarzadeh Totonchi, Mohammad Reza
%J Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference Proceedings (SPA)
%D 2010

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