User-centric, embedded vision-based human monitoring
Tahir Habib Nawaz, Bernhard Rinner, James M. Ferryman · 2016
In an Internet of Things (IoT) camera-based monitoring application the transmission of images away from the video sensors for processing poses security and privacy risks. Hence, there is a need for an advanced trusted user-centric monitoring system that pushes the application of security and privacy protection closer to the sensor itself and which enables an enhanced control on data privacy. To this end, this white paper proposes a new approach that involves sensor edge computing to enable sensor-level security and privacy protection and allows observed individuals to interact and control their data without impacting on the quality of the data for further processing. Overall, an IoT vision system is presented that employs a network of fixed embedded cameras in a highly trusted manner, possessing both privacy-protecting and data security features. As a potential application, we discuss an Ambient Assisted Living (AAL) healthcare use case demanding privacy and security for outpatients.