Cascade classifier for face detection. Issue 3 (September 2016)

• Record Type: Journal Article
• Authors: Yang, Huachun; Wang, Xu An
• Other Names: Xhafa Fatos guest-editor.; Wang Xu An guest-editor.
• Is Part Of: Journal of algorithms & computational technology. Volume 10:Issue 3(2016)
• Page Start: 187
• Page End: 197
• Publication Date: 2016-09
• Subjects: Face detection -- cascade classifier -- histograms of oriented gradients -- support vector machine; Computer algorithms -- Periodicals; Numerical calculations -- Periodicals; Computer algorithms; Numerical calculations; Periodicals; 518.1
• DOI: 10.1177/1748301816649073
• Languages: English
• ISSNs: 1748-3018

Abstract

Detecting faces in images is a key step in numerous computer vision applications, such as face recognition or facial expression analysis. Automatic face detection is a difficult binary classification problem because of the large face intra-class variability which is due to the important influence of the environmental conditions on the face appearance. We propose a cascade face detection method based on histograms of oriented gradients (HOG), using different kinds of features and classifier to exclude non-face step by step. The candidate feature set was constructed by HOG feature of different grain size; at different stages the support vector machine (SVM) was used as the weak classifier with different parameters. Experimental results showed a better performance compared to the state-of-the-art on Carnegie Mellon University/ Massachusetts Institute of Technology (CMU/MIT) datasets.