Spatial filtering for detection of partly occluded targets

Grönwall, Christina; Tolt, Gustav; Chevalier, Tomas; Larsson, Håkan

doi:10.1117/1.3560262

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2011

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Cited by 11 publications

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“…the fact that they are solid bodies, would most likely improve the results further. Further work will focus on how range data filtering approaches such as the ones presented in [14] could be incorporated in the process.…”

Section: Discussionmentioning

confidence: 99%

Target Segmentation in Scenes with Diverse Background

Grönwall

Tolt

2011

Image Analysis

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Abstract. We propose a target segmentation approach based on sensor data fusion that can deal with the problem of a diverse background. Features from sensor images, including data from a laser scanner and passive sensors (cameras), are analyzed using Gaussian mixture estimation. The approach tackles some of the difficulties with Gaussian mixtures, e.g., selecting the number of initial components and a good description of data in terms of the number of Gaussian components, and determining the relevant features for the current data set. The feature selection quality is analyzed on-line. We propose a criterion that determines the quality of the resulting clusters in terms of their respective spatial distribution. The output from the analysis is used for object-background segmentation. Segmentation examples of surface-laid mines in outdoor scenes are shown.

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Section: Discussionmentioning

confidence: 99%