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Proceedings Paper

Estimation of pose and location of ground targets for ATR
Author(s): Marc Loizeaux; Anuj Srivastava; Michael I. Miller
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Paper Abstract

Estimating pose and location of a detected target is an integral part of the target recognition process. In this paper we address the problem of estimating these parameters using images collected via stationary or moving sensors. Taking a Bayesian approach, we define a posterior on the special Euclidean group, which models the target orientation and position, and an optimal estimator in the minimum mean squared error sense. In addition, we derive an achievable lower bound on the estimation errors, independent of an algorithm, and analyze this bound by varying the sensor noise. This bound provides a tool for studying the algorithmic performance versus resources trade-off in multi- sensor, multi-frame applications.

Paper Details

Date Published: 27 July 1999
PDF: 12 pages
Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); doi: 10.1117/12.357153
Show Author Affiliations
Marc Loizeaux, Florida State Univ. (United States)
Anuj Srivastava, Florida State Univ. (United States)
Michael I. Miller, Johns Hopkins Univ. (United States)


Published in SPIE Proceedings Vol. 3720:
Signal Processing, Sensor Fusion, and Target Recognition VIII
Ivan Kadar, Editor(s)

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