The Human Face Detection Algorithms Research and exploration Based on Adaboost

DOI

10.2991/mse-15.2016.71How to use a DOI?

Keywords

Human Face Detection, detector, AdaBoost

Abstract

In this thesis, we implement a fast human face detection system based on the the latest real-time feature detection algorithms presented by Paul Viola [1]. Based on the implementation of the algorithms developed by Paul, we developed a quick image scanning algorithm and an algorithm for simple classifier initialization and its optimization and a method for image data preprocess of the training system. Through the experiment, we try to get the optimal parameters to construct a human face detector with high detection speed and detection rate. Finally, we will have an analysis on our experiment results and on the issue of feature selection with different system parameters and the detection result of the whole system.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yinyan Li
AU  - Xueqin Lu
PY  - 2016/03
DA  - 2016/03
TI  - The Human Face Detection Algorithms Research and exploration Based on Adaboost
BT  - Proceedings of the 2015 International Conference on Mechanical Science and Engineering
PB  - Atlantis Press
SP  - 450
EP  - 457
SN  - 2352-5401
UR  - https://doi.org/10.2991/mse-15.2016.71
DO  - 10.2991/mse-15.2016.71
ID  - Li2016/03
ER  -