Design of a Semantic Framework to Modeling Human Behavior in Surveillance Context

摘要

Multi-sensory monitoring has developed significantly over the last decade. The main reason for this is because of two basic, social needs: security and health. Without doubt, there is a growing social need for security, for detecting dangerous situations, and criminal behavior detection (surveillance). We propose design a semantic framework to representing the human behavior in surveillance context. The principal goal, is have an easy semantic tool that allowing for knowledge engineers get semantic representations case study easy to analyze and reuse. We show examples of how easily and reuse is possible, however we are working on improving our framework, in order to make it much more manageable for the semantic use. Conclusions and future work of our research were generated to visualize what the new tools to be developed.