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.
Highlights
Perimeter protection and monitoring of national borders are challenging tasks
This paper presents a proof of concept sensor system that uses a linear array of pyroelectric detectors for moving object recognition
The response of the detectors inherently suppresses the static background and only responds to moving objects in the image. The use of this system in trail monitoring is demonstrated by its ability to distinguish between humans and animals when object motion is transverse to the field of view (FOV) of the sensor
Summary
Perimeter protection and monitoring of national borders are challenging tasks. For example, the U.S.-Mexico border is about 3000 km long and mostly passes through uninhabited areas and rough terrain. If the discrimination task is narrowed down to specific classes such as distinguishing between humans, animals, and vehicles at ranges not exceeding a few tens of meters, high resolution, high bit depth imaging systems may not be required. This scenario is true especially in the terrains in which objects can only travel through specific routes consisting of narrow trails. This system has provided high classification accuracy in discriminating humans, animals, and vehicles Another version of this system includes spreading the transceiver-reflector elements along a trail instead of being placed on posts. In conjunction with simple signal processing and classification algorithms, it is shown that the system can be used to effectively detect and discriminate humans and animals which makes it relevant for perimeter protection and trail monitoring applications
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
