… 1) We quantify the potential for harnessing spatio-temporal correlations in cross-camera
video analytics. 2) We build a cross-camera video analytics system that learns and applies …

… Our key observation is that video feeds from wide-area camera … positive rates in multi-camera
video analytics. By discussing use… for scaling video analytics to large camera networks, and …

… We define the workflow of the model instance to analyze a camera stream as a video
analytics pipeline. The camera stream shown in Figure 1 has two pipelines. One pipeline is …

… This paper addresses the question of how to overcome this network bottleneck and offload
large volumes of data from a distributed camera deployment in real-time to a datacenter for …

… cross-camera video analytics paradigm at the network edge in which camera nodes adjust
their … in one hand, and intelligent collaboration between video nodes on the other, we discuss …

… Enterprises are increasingly deploying large camera networks for video analytics. Many …
-in) through a large camera network in live video. Such cross-camera analytics is compute and …

… next generation surveillance … surveillance environment and its limitations in Section II. In
Section III we discuss various aspect of video analytic and semantic event search in surveillance …

… video analytics system that tracks the path of vehicles across a heterogeneous camera network.
… video analytics systems in heterogeneous camera networks, we take a specific problem: …

… network cameras as a collective entity that enables collaborative video analytics pipeline
among cameras. … spatiotemporal correlations among cameras in eliminating redundant frames …

… Note that our focus here is on query answering systems over surveillance video. Our work
is orthogonal to the commendable recent work in training deep neural networks [72] on GPUs …