1643 2020 eng 1 6 6 conferenceobject IEEE Xplore 0 -- -- -- Mobile-access edge clouds provide distributed com-pute capacities for low-latency applications. 5G technology willpave the way for such mobile deployment scenarios. In thispaper, we propose an edge cloud infrastructure that supportslow-latency video analysis connected with bandwidth reductionfor a moving group of persons. As example, we consider a mobilebody camera scenario that monitors the situation in a certain areaand transmits it to an operations center. Our discussion focuseson three aspects: mobility support, low-latency video processing,and bandwidth reduction. For this, we propose a mobile edgecloud infrastructure with a central cloud. In order to optimizevideo processing we optimize the edge cloud device assignmentof the cameras depending on their movement by reassigning itto another cloud device. This requires live migration of ongoingvideo analysis between edge devices. Finally we discuss the useof a mobile central cloud. 2020 IEEE Cloud Summit https://doi.org/10.1109/IEEECloudSummit48914.2020.00014 Ja publish false true Richard Zahoransky Wolfgang Mühlbauer Hartmut König eng uncontrolled edge cloud eng uncontrolled mobile-access edge computing eng uncontrolled 5G eng uncontrolled body cameras eng uncontrolled edge device migration Informatik, Informationswissenschaft, allgemeine Werke Fakultät für Informatik Technische Hochschule Rosenheim