27 July 1999 Estimation of pose and location of ground targets for ATR
Author Affiliations +
Proceedings Volume 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII; (1999); doi: 10.1117/12.357153
Event: AeroSense '99, 1999, Orlando, FL, United States
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marc Loizeaux, Anuj Srivastava, Michael I. Miller, "Estimation of pose and location of ground targets for ATR", Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); doi: 10.1117/12.357153; https://doi.org/10.1117/12.357153
PROCEEDINGS
12 PAGES


SHARE
KEYWORDS
Sensors

Error analysis

Automatic target recognition

Statistical analysis

Target recognition

Cameras

Detection and tracking algorithms

Back to Top