… of data in large computing facilities. In contrast, this paper presents a smart video surveillance
system executing AI algorithms in … The computer vision algorithm, typical for surveillance …

… surveillance systems within the available bandwidth. In order to make a robust video surveillance
… COTBIS) that can incorporate the edge computing capability framework in the gateway …

… video surveillance and edge computing. In this study, we provide a review on anomaly detection
in video surveillance and also its evolution with edge computing… using edge computing. …

… Utilizing edge computing and SDN technologies, our surveillance system design aims at …
top to bottom: application tier, edge computing tier, and data tier. The applications tier contains …

… with pervasive edge computing. In this process, salient object detection from surveillance
videos … In this article, an intelligent approach is proposed for surveillance saliency detection. It …

… the fog and edge Computing paradigms by introducing clustered computation at the extreme
edge of the network that includes smart cameras and other noncamera edge devices. This …

… We propose a distributed intelligent video surveillance system by combining the IoT, AI, and
… edge computing platform for the DIVS system, providing flexible and scalable computing …

… surveillance system is a killer application for edge computing. In this article, we propose an
edge computingenabled video usefulness (ie, VU) model for large-scale video surveillance …

… To address the challenges in a smart surveillance system running on cloud-based … fog-edge
computing paradigm as a promising approach that migrates computing tasks to the edge of …

… emerging edge computing applications often use high definition cameras as edge devices
… However, such devices suffer from limited energy (and hence limited computing power) and …