Analgorithmic Framework for Automatic Detection and Tracking Moving Point Targets in IR Image Sequences

被引：1

作者：

Raji, R. Anand ^{[1
]}

Chekuri, Ravi Shankar ^{[1
]}

Karri, Ravi Kumar ^{[1
]}

Kumar, A. P. Regu ^{[1
]}

机构：

[1] Def Avion Res Estab, Bengalure, India

来源：

DEFENCE SCIENCE JOURNAL | 2015年 / 65卷 / 03期

关键词：

Automatic target recognition; infrared; point target; image processing; detection; tracking;

D O I：

10.14429/dsj.65.8164

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Imaging sensors operating in infrared (IR) region of electromagnetic spectrum are gaining importance in airborne automatic target recognition (ATR) applications due to their passive nature of operation. IR imaging sensors exploit the unintended IR radiation emitted by the targets of interest for detection. The ATR systems based on the passive IR imaging sensors employ a set of signal processing algorithms for processing the image information in real-time. The real-time execution of signal processing algorithms provides the sufficient reaction time to the platform carrying ATR system to react upon the target of interest. These set of algorithms include detection, tracking, and classification of low-contrast, small sized-targets. Paper explained a signal processing framework developed to detect and track moving point targets from the acquired IR image sequences in real-time.

引用

页码：208 / 213

页数：6

共 18 条

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