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Proceedings Paper

A robust close-range photogrammetric target extraction algorithm for size and type variant targets
Author(s): Kofi Nyarko; Clayton Thomas Jr.; Gilbert Torres
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Paper Abstract

The Photo-G program conducted by Naval Air Systems Command at the Atlantic Test Range in Patuxent River, Maryland, uses photogrammetric analysis of large amounts of real-world imagery to characterize the motion of objects in a 3-D scene. Current approaches involve several independent processes including target acquisition, target identification, 2-D tracking of image features, and 3-D kinematic state estimation. Each process has its own inherent complications and corresponding degrees of both human intervention and computational complexity. One approach being explored for automated target acquisition relies on exploiting the pixel intensity distributions of photogrammetric targets, which tend to be patterns with bimodal intensity distributions. The bimodal distribution partitioning algorithm utilizes this distribution to automatically deconstruct a video frame into regions of interest (ROI) that are merged and expanded to target boundaries, from which ROI centroids are extracted to mark target acquisition points. This process has proved to be scale, position and orientation invariant, as well as fairly insensitive to global uniform intensity disparities.

Paper Details

Date Published: 12 May 2016
PDF: 9 pages
Proc. SPIE 9844, Automatic Target Recognition XXVI, 984403 (12 May 2016); doi: 10.1117/12.2221918
Show Author Affiliations
Kofi Nyarko, Morgan State Univ. (United States)
Clayton Thomas Jr., Morgan State Univ. (United States)
Gilbert Torres, Naval Air Systems Command (United States)

Published in SPIE Proceedings Vol. 9844:
Automatic Target Recognition XXVI
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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