Human Tracking in Cultural Places using Multi-Agent Systems and Face Recognition

Heritage places are considered among the most valuable places to any nation for maintaining their history. Computer Vision (CV) and Multi-Agent Systems (MAS) are used for preserving, studying, and analyzing cultural heritage places. This paper introduces a new technique that combines both CV and MAS to track visitors face in cultural places. The model consists of four layers of MAS architecture. The proposed system shows its ability to tackle the human face tracking problem and its flexibility to solve the problem with different tracking parameters. This paper also describes the ability of the agent-based system to deploy a computer vision system to execute different algorithms that fit in solving the human face recognition and tracking problem. The proposed system can be used in any similar place with real time agent-based human face-tracking system.