CheckSoft : A Scalable Event-Driven Software Architecture for Keeping Track of People and Things in People-Centric Spaces
This addresses the challenge of automating people-centric applications like airport security and smart stores, though it appears incremental as it builds on existing video surveillance and FSM approaches.
The authors tackled the problem of tracking people-object interactions in surveillance applications by developing CheckSoft, an event-driven software architecture that uses finite-state-machine logic to reject false detections from video data, achieving scalability through multi-processing with separate processes for each human and storage container.
We present CheckSoft, a scalable event-driven software architecture for keeping track of people-object interactions in people-centric applications such as airport checkpoint security areas, automated retail stores, smart libraries, and so on. The architecture works off the video data generated in real time by a network of surveillance cameras. Although there are many different aspects to automating these applications, the most difficult part of the overall problem is keeping track of the interactions between the people and the objects. CheckSoft uses finite-state-machine (FSM) based logic for keeping track of such interactions which allows the system to quickly reject any false detections of the interactions by the video cameras. CheckSoft is easily scalable since the architecture is based on multi-processing in which a separate process is assigned to each human and to each "storage container" for the objects. A storage container may be a shelf on which the objects are displayed or a bin in which the objects are stored, depending on the specific application in which CheckSoft is deployed.