Multi-agent Based Surveillance
Yufeng Chen, Zhi Zhong, Ka Lee, Yangsheng Xu · 2006
Taking as reference the concept of agent in the artificial intelligence, this paper proposes a new multi-agent approach which can be employed in the surveillance for a people group in public places rather than a single person. The agent embodies the state and logic relationship between the person which the agent represents and the others in the same group. It does not merely stand for such individual information of persons as given by the existing surveillance systems. The results of experiments show that by using our multi-agent approach to compute and analyze the relationship between a number of agents, we can well perform real-time surveillance for the group and the related events so as to enhance the applicability and intelligence level of surveillance systems