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Proceedings Paper

Bayesian filtering for tracking pose and location of rigid targets
Author(s): Anuj Srivastava
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Paper Abstract

Tracking of target pose is important for ATR in situations where there is a relative motion between the targets and the sensor(s). Taking a Bayesian approach, we formulate the problem of jointly tracking the target positions and orientations as a problem in nonlinear filtering. Combining pertinent ideas form importance sampling and sequential methods, we apply an iterative Monte Carlo approach to solve for MMSE solutions. This tracking algorithm is demonstrated for tracking individual targets in a simulated environment.

Paper Details

Date Published: 4 August 2000
PDF: 12 pages
Proc. SPIE 4052, Signal Processing, Sensor Fusion, and Target Recognition IX, (4 August 2000); doi: 10.1117/12.395067
Show Author Affiliations
Anuj Srivastava, Florida State Univ. (United States)


Published in SPIE Proceedings Vol. 4052:
Signal Processing, Sensor Fusion, and Target Recognition IX
Ivan Kadar, Editor(s)

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