We have developed a class of aperture coding schemes for Remote Raman
Spectrometers (RRS) that remove the traditional trade-off between
throughput and spectral resolution. As a result, the size of the
remote interrogation region can be driven by operational, rather than
optical considerations. In this paper we present the design of our
coded-aperture standoff spectroscopy system as well as experimental data collected while making remote measurements.
We have developed a class of aperture coding schemes for Remote
Raman Spectrometers (RRS) that remove the traditional trade-off
between throughput and spectral resolution. As a result, the size
of the remote interrogation region can be driven by operational,
rather than optical considerations. We present theoretical
arguments on the performance of these codes and present data from
where we have utilized these codes in other spectroscopy efforts.
The Argus project uses an array of computers and cameras as a means of investigating telepresence and real-time three-dimensional imaging. In this paper we will briefly discuss telepresence from an information flow and visualization perspective. The paper also includes a detailed description of the Argus hardware and a software layer developed to manage the imaging and computational resources. MPEG-2 and feature extraction will be described as parallel compression systems for the Argus camera array.
We present a plan for the integration of geometric constraints in the source, sensor and analysis levels of sensor networks. The goal of geometric analysis is to reduce the dimensionality and complexity of distributed sensor data analysis so as to achieve real-time recognition and response to significant events. Application scenarios include biometric tracking of individuals, counting and analysis of individuals in groups of humans and distributed sentient environments. We are particularly interested in using this approach to provide networks of low cost point detectors, such as infrared motion detectors, with complex imaging capabilities. By extending the capabilities of simple sensors, we expect to reduce the cost of perimeter and site security applications.
We recently implemented a heterogeneous network of infrared motion detectors and an infrared camera for the detection, localization, tracking, and identification of human targets. The network integrates dense deployments of low cost motion sensors for target tracking with sparse deployments of image sensors for target registration. Such networks can be used in tactical applications for local and distributed perimeter and site security. Rapid deployments for crisis management may be of particular interest. This paper focuses particularly on the need for applications that deal with relatively dense and complex source fields such as crowds move through sensor spaces.
We describe streaming 3D video on the Argus sensor space. Argus is a Beowulf-style distributed computer with 64 processors and 64 video camera/capture pairs. Argus is a test-bed for comparing sensor space modeling and reconstruction algorithms. We describe the implementation of tomographic and stereo triangulation algorithms on this space and consider mappings from the sensor space to associated display spaces.