Emphatic human interaction analysis for cognitive environments
Carlo S. Regazzoni · 2010
Understanding the dynamic evolution of complex scenes where multiple patterns interact according to a hidden semantic goal is an issue of current intelligent environments. This issue is made somehow more complex due to the more spread and intensive use of camera systems to help human operators in the monitoring task. Analyzing multimedia data provided by wide set of cameras simultaneously monitoring different environments makes it necessary not only to focus the attention of human operators on relevant occurring events, but also to actively support their decision about optimal reactions to be taken to manage abnormal situations. Cognitive tasks to be modeled in integrated intelligent systems become not only multisensor data processing and scene understanding, but also proactive decision making: a recognized abnormal interactive situation occurring in the scene must be possibly controlled in such a way that divergence from normal event flow can not compromise security level of an environment.