Face Detection Based on Viola-Jones Algorithm Applying Composite Features

Viola-Jones' face detection algorithm was jointly proposed by Paul Viola and Michael Jones. Although it realized face real-time detection to some extent, its false detection rate is not low. Because the block features in the Viola-Jones algorithm can't handle purely rigid objects, such as...

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Bibliographic Details
Published in:2019 International Conference on Robots & Intelligent System (ICRIS) pp. 82 - 85
Main Authors: LU, Wen-yao, YANG, Ming
Format: Conference Proceeding
Language:English
Published: IEEE 01.06.2019
Subjects:
Classification algorithms
Compound Features
Compounds
Face
Face detection
Face recognition
Feature extraction
Linear discriminant analysis
Viola-Jones
Online Access:Get full text
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Summary:Viola-Jones' face detection algorithm was jointly proposed by Paul Viola and Michael Jones. Although it realized face real-time detection to some extent, its false detection rate is not low. Because the block features in the Viola-Jones algorithm can't handle purely rigid objects, such as chopsticks and cups, so if there are rigid objects in the face image, Viola-Jones' face detection algorithm is prone to generate false detection of faces. In this paper, we propose to apply the composite features based on Viola-Jones algorithm to improve the above problems, and prove the feasibility of this method through experiments.
DOI:10.1109/ICRIS.2019.00029