The Chongqing University ChineSe Ear Video Database and its application

Abstract

Presently there already existed a few human ear image databases, which have been very influential in advancing the research on ear recognition. However no ear video databases are available. In this paper, we introduce the construction and basic content of the Chinese Ear Video Database (CEVD) and some primary evaluation results on it. The CEVD consists of 3600 ear video segments collected from 120 subjects. All the video segments in the database were collected in specially designed environment with three principal variations of illumination condition, viewing angle and interference. Compared with other public ear database, CEVD can not only be used for image-based applications but also video-based applications. In this paper we introduce the database and describe the collecting procedure. It excels in its large-scale and variation modes and is expected to have positive impact on the development and evaluation of ear recognition algorithms. This paper also gives experiment results of improved CamShift and AdaBoost algorithm on the database.