Mobile robot for face recognition: A collaborative environment

Pablo Rivas-Perea, José-Gerardo Rosiles, Omar Velarde Anaya, Leonardo Valencia Olvera, Luis Humberto Uribe Chavira, Mario I. Chacon

Abstract: Nowadays human beings need to perform dangerous tasks involving the possibility of physical injury. This creates a demand of novel collaborative technologies between human and machines. In this paper we present a collaborative scheme aimed to support a mobile face recognition system for surveillance applications. Such face recognition system is based on facial feature lines and the Abonyi's and Szeifert's fuzzy classification scheme. A mobile platform which uses the latest technologies in mobile robotics is introduced. The implementation shows facial recognition rates up to 95% with the ORL facial database, and successful assessment for remote scene monitoring.