THoDBRL2015 Database

Animal recognition is an active research topic in recent years. Horse’s recognition is an important task in the world and in order to promote horse’s recognition research, the Tunisian Research Groups in Intelligent Machines of University of Sfax (REGIM of Sfax) will provide the Tunisian Horses DataBase of Regim Lab’2015 (THoDBRL’2015) freely of charge to mainly horses’ face recognition researchers and to increase total of researches done to enhance animal recognition. This Database is used in [1]. The main objective of the construction of this database is to identify horses keeping its natural behavior without any direct ontact between the animal and the camera.THoDBRL’2015 database is a multiview horses’ faces database, which is created in March 2015. Images of 47 horses’ faces were captured from four equestrian centers in Sfax (a south town in Tunisia) during 3 days in daylight. The size of the database is 4.67Go and contains 2820 images.All documents and papers that uses the Tunisian Horses DataBase of Regim Lab’2015 (THoDBRL’2015) will acknowledge the use of the database by including an appropriate citation to the following:[1] Islem Jarraya, Wael Ouarda, and Adel M. Alimi. "A preliminary investigation on horses recognition using facial texture features." In 2015 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2803-2808. IEEE, 2015.

动物识别是近年来的热点研究方向。马匹识别是全球范围内的一项重要任务，为推动马匹识别研究的发展，斯法克斯大学智能机器突尼斯研究团队（REGIM of Sfax）将免费向主要从事马匹面部识别研究的学者开放其2015年构建的REGIM实验室突尼斯马匹数据库（Tunisian Horses DataBase of Regim Lab’2015，THoDBRL’2015），以期助力相关研究总量的提升，促进动物识别领域的进步。该数据库已被文献[1]引用。本数据库的构建初衷为：在动物与相机无直接接触的前提下，保留马匹的自然行为状态以完成马匹身份识别。THoDBRL’2015是一个多视角马匹面部数据库，于2015年3月创建。研究团队于突尼斯南部城镇斯法克斯的四家马术中心，在3天的日间拍摄时段内，采集了47匹马的面部图像，共计2820张，数据库总容量为4.67吉字节（GB）。所有使用REGIM实验室突尼斯马匹数据库（THoDBRL’2015）的文档与学术论文，需通过恰当引用下述文献以标注该数据库的使用：[1] Islem Jarraya、Wael Ouarda 与 Adel M. Alimi. 《基于面部纹理特征的马匹识别初步研究》，收录于2015年IEEE国际系统、人与控制论会议，第2803-2808页，IEEE出版社，2015年。