Infrared adaptive correlation tracking of fusing distance information

CHEN Da-qing; HAN Jiu-qiang; YU Zhi-jian

doi:10.3788/OPE.20101808.1862

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Infrared adaptive correlation tracking of fusing distance information

Article | 更新时间：2020-08-12

- Infrared adaptive correlation tracking of fusing distance information
- Optics and Precision Engineering Vol. 18, Issue 8, Pages: 1862-1868(2010)
- 作者机构：
  
  1. 西安交通大学电信学院,陕西西安,710047
  2. 太原卫星发射中心,山西太原 030027
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20101808.1862
  CLC： TJ765.3;TP391.4
- Received：15 October 2009，
  
  Revised：15 January 2010，
  
  Published Online：20 August 2010，
  
  Published：20 August 2010
- 稿件说明：
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陈大庆, 韩九强, 于志坚. 融合距离信息的红外自适应相关跟踪[J]. 光学精密工程, 2010,18(8): 1862-1868

CHEN Da-qing, HAN Jiu-qiang, YU Zhi-jian. Infrared adaptive correlation tracking of fusing distance information[J]. 光学精密工程, 2010,18(8): 1862-1868
陈大庆, 韩九强, 于志坚. 融合距离信息的红外自适应相关跟踪[J]. 光学精密工程, 2010,18(8): 1862-1868 DOI： 10.3788/OPE.20101808.1862.

CHEN Da-qing, HAN Jiu-qiang, YU Zhi-jian. Infrared adaptive correlation tracking of fusing distance information[J]. 光学精密工程, 2010,18(8): 1862-1868 DOI： 10.3788/OPE.20101808.1862.

摘要

研究了在雷达/红外复合制导中如何将雷达的距离信息应用于红外图像序列的目标跟踪。针对目标渐进的图像序列

通过分析图像放大对相关性的影响

制定了一种根据弹目距离确定模板更新周期的模板更新策略。将距离更新、定时更新和基于目标模板缓冲区的模板更新相结合

提出了一种融合距离信息的自适应模板更新算法。以一座大楼为目标

验证了该方法的有效性。结果表明

该方法对目标渐进的图像序列有较强的自适应性

比传统方法大大提高了跟踪精度和跟踪稳定性

对实验中各类图像的跟踪正确率达90%以上。

Abstract

This paper mainly researches how to apply the distance information of millimeter wave radars to the object-tracking of infrared image sequences. In connection with the image sequences whose objects are gradually magnified

a template updating strategy in which the template updating cycle is confirmed by the distance between target and missile is proposed after analyzing the effect of image magnification on the correlation characteristics. In combination of the timing updating

template buffer updating with the distance updating

an adaptive template updating algorithm for fusing distance information is presented. By taking a building as experimental target

the effectiveness of the method is verified. It demonstrates that the method is very suitable for the proposed image sequences. As compared with the traditional tracking methods

it has improved the tracking accuracy and tracking stability greatly and its tracking accurateness is more than 90% for different images.

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references

刘隆和.多模复合寻的制导技术 [M]. 北京:国防工业出版社,1998.

LIU L H. Multi-model Composite Homing Guidance Technology [M]. Beijing: National Defense Industry Press. (in Chinese)

MONTERA D A, ROGERS S K, RUCK D W, et al.. Object tracking through adaptive correlation [J]. Optical Engineering, 1994,33(1):294-302.

PARRY H S, MARSHALL A D, MARKHAM K C.Tracking targets in FLIR images by region template correlation [J]. SPIE, 1997,3086(277):221-232.

PARAGIOS N, TZIRITAS G. Adaptive detection and localization of moving objects in image sequences . Signal Processing: Image Communication, 1999,14:277-296.

COOTES T, EDWARDS G, TAYLOR C.Active appearance models [J]. IEEE Trans. Pattern Analysis and Machine Intelligence, 2001,23(6):681-685.

DENNIS A M, STEVEN K R, DENNIS W R. Object tracking through adaptive correlation [J]. Opt. Eng., 1994,33(1):294-302.

IAIN M, BAKER S. Lucas-Kanade 20 years on: a unifying framework [J]. Intl J. Computer Vision, 2004,53(3):221-255.

朱永松,国澄明. 基于相关系数的相关跟踪算法研究[J]. 中国图象图形学报,2004,9(8):963-967.

ZHU Y S, GUO CH M. Research of correlation tracking algorithm based on correlation coefficient [J]. Journal of Image and Graphics, 2004,9(8):963-967. (in Chinese)

IAIN M, ISHIKAWA T, BAKER S. The template update problem [J]. IEEE Transactions on PAMI, 2004,26(6):810-815.

NGUYEN H T, WORRING M, REIN V D. Occlusion robust adaptive template tracking . Proc. IEEE Conf. on Computer Vision 2001, ICCV. Vancouver BC, USA: The Pringting House, 2001:678-683.

应陈克,胡文江,赵亦工. 复杂背景下目标模板更新算法研究[J]. 遥测遥控, 2006,27(6): 34-39.

YING CH K, HU W J, ZHAO Y G. Study of target template-update algorithm in complex background [J]. Journal of Telemetry, Tracking and Command, 2006,27(6):34-39. (in Chinese)

江泽涛,赵荣椿,黎明. 一种基于相关的分层匹配与目标跟踪方法[J]. 航空学报2006, 27(4): 670-675.

JIANG Z T, ZHAO R CH, LI M. A correlation-based layered matching and target tracking method [J]. ACTA Aeronautica ET Astronautica Sinica, 2006,27(4):670-675. (in Chinese)

江淑红,汪沁,张建秋,等. 基于目标中心距离加权和图像特征识别的跟踪算法[J]. 电子学报, 2006,34(7):1175-1180.

JIANG SH H, WANG Q, ZHANG J Q, et al. An image tracking algorithm based on object center distance-weighting and image feature recognition [J]. ACTA Electronica Sinica, 2006,34(7):1175-1180. (in Chinese)

杨小冈,曹菲,缪栋,等. 基于相似度比较的图像灰度匹配算法研究[J]. 系统工程与电子技术, 2005,27(5):918-921.

YANG X G, CAO F, MIAO D, et al. Study on the image grayscale matching algorithm based on similarity measures [J]. Systems Engineering and Electronics, 2005,27(5):918-921. (in Chinese)

孙昊,李象霖,于云翔. 基于图像放大影响的多模板相关跟踪算法[J]. 计算机仿真, 2006,23(9):136-139.

SUN H, LI X L, YU Y X. Object real-time tracking arithmetic in complex background [J]. Computer Emulator, 2006,23(9):136-139. (in Chinese)

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