Towards an unobtrusive baby monitoring system for real-time detection of possibly hazardous situations

The main objective of this work is the development of an integrated non-invasive surveillance system with the aim of detecting potentially pathological conditions of infants of up to one year of age that are difficult to detect without continuous monitoring by a trained professional. Conditions such as apnea or choking events can be life-threatening to an infant. In this direction, we set the overall picture of the architecture of such an infant surveillance system and build a foundation allowing for real-time video analysis supporting fast feature extraction in order to be able to detect acute episodes with no time delay or any dropped frames. Functional and technical specifications of the envisaged system, as well as the simulation results are reported.