Fast Face Detection with Multi-Scale Window Search Free from Image Resizing Using SGI Features

作     者：Masayuki Miyama Masayuki Miyama

作者机构：Faculty of Electrical and Computer Engineering Institute of Science and Engineering Kanazawa University Kanazawa Japan 

出 版 物：《Journal of Computer and Communications》 (电脑和通信（英文）)

年 卷 期：2016年第4卷第10期

页      面：22-29页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Face Detection Multi-Scale Window Search Resizing Free SGI Feature 

摘      要：Face detection is applied to many tasks such as auto focus control, surveillance, user interface, and face recognition. Processing speed and detection accuracy of the face detection have been improved continuously. This paper describes a novel method of fast face detection with multi-scale window search free from image resizing. We adopt statistics of gradient images (SGI) as image features and append an overlapping cell array to improve detection accuracy. The SGI feature is scale invariant and insensitive to small difference of pixel value. These characteristics enable the multi-scale window search without image resizing. Experimental results show that processing speed of our method is 3.66 times faster than a conventional method, adopting HOG features combined to an SVM classifier, without accuracy degradation.