Camera calibration is a crucial prerequisite for the retrieval of metric information from images. The problem of camera calibration is the computation of camera intrinsic parameters (i.e., coefficients of geometric distortions, principle distance and principle point) and extrinsic parameters (i.e., 3D spatial orientations: ω, ϕ, κ, and 3D spatial translations: t(x), t(y), t(z)). The intrinsic c...

Intelligent environments provide challenging research problems for natural and efficient interfaces between humans and computers as well as between humans. In this paper we present a multimodal sensory intelligent system testbed based on some general requirements for developing intelligent environments. We also present rigorous experimental investigations on the processing and control modules f...

A novel method is presented for distributed matching across different viewpoints. The fundamental perspective invariants for curves in the real projective space are the volume cross-ratios. Probabilistic analysis of projective invariants shows that they are not unique and therefore not discriminative. However, a curve in m-dimensional Euclidean space is completely prescribed by the signature ma...

Motivated by applications in surveillance sensor networks, we present a distributed algorithm for the automatic, external, metric calibration of a network of cameras with no centralized processor. We model the set of uncalibrated cameras as nodes in a communication network, and propose a distributed algorithm in which each camera only communicates with other cameras that image some of the same ...

Recent research in sensor networks has made it possible to deploy networks of sensors with significant local processing. These sensor networks are revolutionising information collection and processing in many different environments. Often the amount of local data produced by these devices, and their sheer number, makes centralised data processing infeasible. Smart camera networks represent a pa...

Emerging new behavioral monitoring and tracking technologies that use camera networks offer unprecedented capabilities for health-care monitoring. A challenging problem is to track people through very sparse sensor measurements to reduce the cost of expensive sensors and be robust to sensor failure. In this paper we propose a Coupled State Space Model (CSSM) to track people across camera networ...

SELF-LOCALIZING SMART CAMERAS AND THEIR APPLICATIONS Babak Shirmohammadi Camillo J. Taylor Associate Professor of Computer and Information Science As the prices of cameras and computing elements continue to fall, it has become increasingly attractive to consider the deployment of smart camera networks. These networks would be composed of small, networked computers equipped with inexpensive imag...

introduction: scatter radiation is one of the major sources of error in nuclear medicine data processing. different methods of scatter correction have been introduced in order to improve the quality of data. however the best method is to avoid recording of scatter photons in acquisition. the only difference between scattered and non-scattered photons is the energy. pulse height analyzer is the ...

Improved energy-efficiency and storage capacity of new-generation NAND flash memory makes a compelling case for storage-centric sensor networks. Such a storage-centric sensor network emphasizes the use of platforms with larger storage and more extensive use of the storage capacities on sensors. We demonstrate the feasibility of storage-centric sensor networks using an instance of a storage-cent...

In this paper we look at how camera networks can be used in the healthcare industry for remote patient monitoring. This type of network would be installed in the home and have the ability to alert officials should an emergency arise. A network of this kind could be of benefit to many, and in particular to the growing number of elderly citizens by helping them to maintain their independent lifes...