Embedded Vision Systems: A Review of the Literature

Over the past two decades, the use of low power Field Programmable Gate Arrays (FPGA) for the acceleration of various vision systems mainly on embedded devices have become widespread. The reconfigurable and parallel nature of the FPGA opens up new opportunities to speed-up computationally intensive vision and neural algorithms on embedded and portable devices. This paper presents a comprehensive review of embedded vision algorithms and applications over the past decade. The review will discuss vision based systems and approaches, and how they have been implemented on embedded devices. Topics covered include image acquisition, preprocessing, object detection and tracking, recognition as well as high-level classification. This is followed by an outline of the advantages and disadvantages of the various embedded implementations. Finally, an overview of the challenges in the field and future research trends are presented. This review is expected to serve as a tutorial and reference source for embedded computer vision systems

Self-healing Mechanism over the Cloud on Interaction Layer for AALs Using HARMS

International audienceIn humans, interactions happen as a process taught generation to generation, it is our nature given the implicit need of cooperation within society. When talking about systems, reality is rather different, specifically for systems conformed by heterogeneous agents. In this sense, errors in interactions can occur at any time and for many different reasons. This paper proposes a self-healing mechanism based on model checking, taking advantages of the cloud for ambient assisted living systems