Human identification and tracking

In recent years, face detection and recognition have been very popular in both scientific research communities and the market. But it still remains very challenging in real?time applications. The machine learning and computer graphics communities are also increasingly involved in face recognition. This common interest among researchers working in diverse fields is motivated by the remarkable ability of recent algorithms to recognize people and the fact that human activity is the primary concern both in everyday life and in cyberspace. Face tracking and recognition is also very popular in security systems. The ability of these methods help developing reliable human surveillance systems. Both tracking and recognition systems can be used widely by the police and private security firms. In this MSc. thesis study, we implement a human surveillance system using face detection and recognition as a subpart of a human surveillance system.