Distributed video analysis for the advancing out of school learning in mathematics and engineering project

The paper proposes an open-source, maintainable system for detecting human activity in video datasets using scalable hardware architectures. The system is validated by detecting writing and typing activities that were collected as part of the Advancing Out of School Learning in Mathematics and Engineering (AOLME) project. The implementation of the system using Amazon Web Services (AWS) is shown to be both horizontally and vertically scalable....