Next Article in Journal
Retrieval of Surface Air Specific Humidity Over the Ocean Using AMSR-E Measurements
Next Article in Special Issue
1T Pixel Using Floating-Body MOSFET for CMOS Image Sensors
Previous Article in Journal
A Passive Wireless Temperature Sensor for Harsh Environment Applications
Previous Article in Special Issue
Pattern Recognition via PCNN and Tsallis Entropy
Sensors 2008, 8(12), 7996-8015; doi:10.3390/s8127996
Article

Sparse Detector Imaging Sensor with Two-Class Silhouette Classification

* ,
 and
Center for Advanced Sensors, Department of Electrical and Computer Engineering, The University of Memphis, Memphis, TN, USA 38152
* Author to whom correspondence should be addressed.
Received: 4 November 2008 / Revised: 1 December 2008 / Accepted: 4 December 2008 / Published: 8 December 2008
(This article belongs to the Special Issue Image Sensors)
View Full-Text   |   Download PDF [456 KB, uploaded 21 June 2014]   |  

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 Electronic fence; imaging sensor; sparse detector array; object identification; Web-service interface
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
SciFeed

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
RIS
MDPI and ACS Style

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

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert