Open Access
12 February 2014 Pyroelectric linear array sensor for object recognition
Author Affiliations +
Abstract
This paper presents a proof of concept sensor system based on a linear array of pyroelectric detectors for recognition of moving objects. The utility of this prototype sensor is demonstrated by its use in trail monitoring and perimeter protection applications for classifying humans against animals with object motion transverse to the field of view of the sensor array. Data acquisition using the system was performed under varied terrains and using a wide variety of animals and humans. With the objective of eventually porting the algorithms onto a low resource computational platform, simple signal processing, feature extraction, and classification techniques are used. The object recognition algorithm uses a combination of geometrical and texture features to provide limited insensitivity to range and speed. Analysis of system performance shows its effectiveness in discriminating humans and animals with high classification accuracy.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Srikant Chari, Eddie L. Jacobs, and Divya Choudhary "Pyroelectric linear array sensor for object recognition," Optical Engineering 53(2), 023101 (12 February 2014). https://doi.org/10.1117/1.OE.53.2.023101
Published: 12 February 2014
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
KEYWORDS
Sensors

Feature extraction

Object recognition

Pyroelectric detectors

Data modeling

Animal model studies

Infrared sensors

RELATED CONTENT

Advancement of an algorithm
Proceedings of SPIE (June 13 2014)

Back to Top