Face detection based on skin color in video images with dynamic background

• Type: Article in International Conference Proceedings Book
• Date: 2007

Authors

ferreira, am (Author) Other; correia, mv (Author) FEUP

Conference proceedings International

Title: Image Analysis and Recognition

Pages: 254-262

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 4 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-004-DF8

DOI: 10.1007/978-3-540-74260-9_23

Abstract (EN): Face detection is a problem in image processing that has been extensively studied in the last decades. This fact is justified due to the innumerous applications this subject has in computer vision. In this paper we present a technique to detect a face in an image where several persons may be. The images were recorded from news broadcasts from different networks. First, a model based on normalized RGB color space was built to define a skin color model: skin regions were selected from several face images and extracted statistical characteristics. Second, each pixel of the image was classified in two categories: skin and not skin. Third, the face region was identified. A MATLAB function was created to detect faces of any size, achieving high detection rates.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9