Sensors 2008, 8(12), 7996-8015; doi:10.3390/s8127996

Sparse Detector Imaging Sensor with Two-Class Silhouette Classification

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Received: 4 November 2008; in revised form: 1 December 2008 / Accepted: 4 December 2008 / Published: 8 December 2008
(This article belongs to the Special Issue Image Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: This paper presents the design and test of a simple active near-infrared sparse detector imaging sensor. The prototype of the sensor is novel in that it can capture remarkable silhouettes or profiles of a wide-variety of moving objects, including humans, animals, and vehicles using a sparse detector array comprised of only sixteen sensing elements deployed in a vertical configuration. The prototype sensor was built to collect silhouettes for a variety of objects and to evaluate several algorithms for classifying the data obtained from the sensor into two classes: human versus non-human. Initial tests show that the classification of individually sensed objects into two classes can be achieved with accuracy greater than ninety-nine percent (99%) with a subset of the sixteen detectors using a representative dataset consisting of 512 signatures. The prototype also includes a Webservice interface such that the sensor can be tasked in a network-centric environment. The sensor appears to be a low-cost alternative to traditional, high-resolution focal plane array imaging sensors for some applications. After a power optimization study, appropriate packaging, and testing with more extensive datasets, the sensor may be a good candidate for deployment in vast geographic regions for a myriad of intelligent electronic fence and persistent surveillance applications, including perimeter security scenarios.
Keywords: Electronic fence; imaging sensor; sparse detector array; object identification; Web-service interface
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MDPI and ACS Style

Russomanno, D.; Chari, S.; Halford, C. Sparse Detector Imaging Sensor with Two-Class Silhouette Classification. Sensors 2008, 8, 7996-8015.

AMA Style

Russomanno D, Chari S, Halford C. Sparse Detector Imaging Sensor with Two-Class Silhouette Classification. Sensors. 2008; 8(12):7996-8015.

Chicago/Turabian Style

Russomanno, David; Chari, Srikant; Halford, Carl. 2008. "Sparse Detector Imaging Sensor with Two-Class Silhouette Classification." Sensors 8, no. 12: 7996-8015.

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