4 August 2000 Bayesian filtering for tracking pose and location of rigid targets
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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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anuj Srivastava, Anuj Srivastava, "Bayesian filtering for tracking pose and location of rigid targets", Proc. SPIE 4052, Signal Processing, Sensor Fusion, and Target Recognition IX, (4 August 2000); doi: 10.1117/12.395067; https://doi.org/10.1117/12.395067


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