7 May 2010 Profiling sensor classification algorithm implementation on an embedded controller
Author Affiliations +
Abstract
This paper provides a feasibility analysis and details of implementing a classification algorithm on an embedded controller for use with a profiling sensor. Such a profiling sensor has been shown to be a feasible approach to a low-cost persistent surveillance sensor for classifying moving objects such as humans, animals, or vehicles. The sensor produces data that can be used to generate object profiles as crude images or silhouettes, and/or the data can be subsequently automatically classified. This paper provides a feasibility analysis of a classification algorithm implemented on an embedded controller, which is packaged with a prototype version of a profiling sensor. Implementation of the embedded controller is a necessary extension of previous work for fielded profiling sensors and their appropriate applications. Field data is used to confirm accurate automated classification.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert K. Reynolds, David J. Russomanno, Srikant K. Chari, Carl E. Halford, "Profiling sensor classification algorithm implementation on an embedded controller", Proc. SPIE 7694, Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR, 769413 (7 May 2010); doi: 10.1117/12.851900; https://doi.org/10.1117/12.851900
PROCEEDINGS
7 PAGES


SHARE
Back to Top