We design and develop a low-cost pyroelectric detector-based IR motion-tracking system. We study the characteristics of the detector and the Fresnel lenses that are used to modulate the visibility of the detectors. We build sensor clusters in different configurations and demonstrate their use for human motion tracking.
Human bodies are very good heat sources with peak emission wavelength of about 9?m. We use pyroelectric detectors that are differential in nature to detect human motion by their heat emissions. Coded Fresnel lens arrays create boundaries in space which helps to localize the human motion as well as classification. We design and implement a low-cost biometric tracking system using off-the-shelf components. We demonstrate tracking and classification using sensor clusters of dualelement pyroelectric detectors with coded Fresnel lens arrays.
We design and calibrate an efficient human detection system, capable of detecting and tracking a single person while minimizing the number of required sensors. Our infrared detectors have a 2 meter range and a 250ms rise/fall time. We sample their signal using an MSP430F149 microprocessor, correlate the results to reference patterns, and collect the binary decisions of each sensor on a workstation wirelessly. We modulate the optical field of the detectors by introducing selectively opaque reference structures into their optical path. Segmenting the physical space into signature cells enables direct measurement of source configuration. Brute force determination of the mapping is prohibitively expensive; we propose a method to estimate this mapping and predict signatures for every source position by observing signatures along prescribed tracks through the physical space.
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 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.
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