The case for admission control of mobile cameras into the live video analytics pipeline

In this paper we consider the problem of orchestrating video analytics applications over an edge computing infrastructure. Video analytics applications have been traditionally associated to the processing of video streams generated by fixed video cameras. Nowadays, however, the availability of mobile video cameras has become pervasive. We argue that to take advantage of the presence of mobile video cameras---and their informative content---it may be necessary to refactor the edge orchestration logic. We propose a new solution that splits the problem into two connected actions: 1) Placement of processing functions in the infrastructure and 2) Admission of most informative cameras based on their field of view. We hence describe a possible scheme for joint video stream admission and orchestration. Finally, preliminary numerical results are presented, demonstrating that separating the two logic components can improve coverage while reducing the cost of deployment.