A human classification system for a video-acoustic detection platform

In this paper we present a complete classification system that uses information obtained from several media devices. The definition of tasks and events managed by the core module allows that the system can be adapted, changing the how the system works or adding new modules. The use of a classification module allows the human supervision contributing with greater reliability.