Cities around the world are increasingly relying upon cameras to provide visual coverage of extended spaces. Surveillance cameras are an essential component of the overall crime prevention strategy. Law enforcement agencies now heavily use imagery collected by surveillance cameras in solving crimes. Cameras installed on roadways are used to collect traffic data with the aim to better manage tra...

Consider a problem in which N cameras in a camera sensor network must estimate their pose in a distributed fashion exclusively from image measurements. Using standard computer vision techniques, each camera can extract feature points from the images, match these points across a few neighboring cameras, and estimate the relative rotation and translation (up to a scale factor) of the neighboring ...

This paper presents camera network research in the context of a unique synthesis of advanced computer graphics and vision simulation technologies. In particular, we propose the design of and experimentation with simulated camera networks within visually and behaviorally realistic virtual environments. Specifically, we demonstrate a smart camera network comprising static and active simulated vid...

We propose in this chapter to consider the emerging framework of networks of omnidirectional cameras. We first describe how omnidirectional images captured by different types of mirrors or lenses can be uniquely mapped to spherical images. Spherical imaging can then be used for calibration, scene analysis or distributed processing in omni-directional camera networks. The chapter then presents c...

With the proliferation of sensors of various kinds, especially cameras, large-scale situation awareness applications employing camera networks will become common place. These applications are inherently distributed, dynamic, interactive, run 24×7, and generate spatiotemporal events that need to be stored and retrieved in a timely manner to satisfy real-time constraints. To address these challen...

In this paper we examine issues of localization, exploration, and planning in the context of a hybrid robot/camera-network system. We exploit the ubiquity of camera networks to use them as a source of localization data. Since the Cartesian position of the cameras in most networks is not known accurately, we consider the issue of how to localize such cameras. To solve this hybrid localization pr...

In this paper, we present learning-based robust cooperative control for camera sensor networks. The dynamics of each agent with the pan and tilt mechanism is modeled by Euler-Lagrange equation. target tracking problem, modeling errors caused high nonlinearity system changes in environment may incur significant deterioration performance. To address this, propose a distributed method based on Gau...