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前视红外(FLIR)图像中目标检测与跟踪的进展。

Advances in target detection and tracking in Forward-Looking InfraRed (FLIR) imagery.

作者信息

Sanna Andrea, Lamberti Fabrizio

机构信息

Politecnico di Torino, Dipartimento di Automatica e Informatica, Corso Duca degli Abruzzi 24, Torino 10129, Italy.

出版信息

Sensors (Basel). 2014 Oct 28;14(11):20297-303. doi: 10.3390/s141120297.

Abstract

Here we give context to the Special Issue on "Detection and Tracking of Targets in Forward-Looking InfraRed (FLIR) Imagery" in Sensors. We start with an introduction to the role of infrared images in today's vision-based applications, by outlining the specific challenges that characterize detection and tracking in FLIR images. We then illustrate why selected papers have been chosen to represent the domain of interest, by summarizing their main contributions to the state-of-the-art. Lastly, we sum up the main evidence found, and we underline some of the aspects that are worthy of further investigation in future research activities.

摘要

在此,我们为《传感器》杂志中关于“前视红外(FLIR)图像中目标的检测与跟踪”的特刊提供背景信息。我们首先介绍红外图像在当今基于视觉的应用中的作用,概述FLIR图像检测与跟踪所特有的具体挑战。然后,通过总结所选论文对当前技术水平的主要贡献,来说明为什么选择这些论文来代表感兴趣的领域。最后,我们总结已发现的主要证据,并强调一些在未来研究活动中值得进一步研究的方面。

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A Robust Detection Algorithm for Infrared Maritime Small and Dim Targets.
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本文引用的文献

2
Automated detection and recognition of wildlife using thermal cameras.
Sensors (Basel). 2014 Jul 30;14(8):13778-93. doi: 10.3390/s140813778.
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Relevance-based template matching for tracking targets in FLIR imagery.
Sensors (Basel). 2014 Aug 4;14(8):14106-30. doi: 10.3390/s140814106.
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Sensors (Basel). 2014 Jul 29;14(8):13679-91. doi: 10.3390/s140813679.
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