Implementing Face Detector using Viola-Jones Method

International Journal of Electrical and Electronics Engineering

© 2023 by SSRG - IJEEE Journal

Volume 10 Issue 7

Year of Publication : 2023

Authors : Ali H Alyousef

10.14445/23488379/IJEEE-V10I7P113

How to Cite?

Ali H Alyousef, "Implementing Face Detector using Viola-Jones Method," SSRG International Journal of Electrical and Electronics Engineering, vol. 10,  no. 7, pp. 140-147, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I7P113

Abstract:

This paper presents implementing a face detection algorithm based on the Viola-Jones method. The Viola-Jones method is a well-known and efficient face detection algorithm that uses Haar-like features, Adaboost, integral images, and the cascade of classifiers. The implementation in this paper was done in MATLAB and was tested using the MIT + MCU database. The results show that the detector achieves a detection rate of 60%, which is lower than the 90% detection rate of the original Viola-Jones method. However, the detector achieves a better false positive rate rejection. The design choices made in this implementation affect the trade-off between the system’s accuracy and speed.

Keywords:

Face detection, Viola-Jones, Haar-like features, Adaboost, Integral images, The cascade of classifiers.

References:

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