What question did this study set out to answer?

This research aims to develop a Bayesian particle filter for improving target detection directly from pixel data.

January 1, 2001

A particle filter for track-before-detect

Key Points

This research aims to develop a Bayesian particle filter for improving target detection directly from pixel data.
Developed a particle filter based on Bayesian principles.
Used pixel array data to estimate the distribution of the target state.
Calculated the probability of target presence.
Demonstrated sample-based approximation of target state is effective.
Showed improved measures of target detection probability.

Abstract

A Bayesian track-before-detect particle filter is proposed. The filter provides a sample based approximation to the distribution of the target state directly from pixel array data. The filter also provides a measure of the probability that a target is present.

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