Detection of Multiple Targets in an Image

Document Type

Conference Proceeding

Publication Date

9-5-2018

Publication Title

2018 21st International Conference on Information Fusion, FUSION 2018

First Page

315

Keywords

Electro optical and infrared (EOIR) sensors, Expectation maximization (EM) algorithm, Gaussian point spread function, resampling

Last Page

322

Abstract

Detecting the locations of multiple targets in image frames remains a challenging problem in various applications including target tracking, robotics and autonomous systems. Most of the existing approaches developed to address this problem rely on threshold based detection and are ad-hoc natured; there are no systematic approaches to detect multiple targets in a single image. In this paper, such an approach is developed by assuming the point spread function (PSF) of target signal intensities in the image to be Gaussian and that the noise is independently and identically distributed (i.i.d.). It is shown that, after joint estimation of target position and PSF, the multiple target detection problem decomposes into parallel single target detection problems. The performance of the proposed approach is demonstrated in this paper through a simulated example.

DOI

10.23919/ICIF.2018.8455435

ISBN

9780996452762

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