基于梯度方向二值模式特征的飞机翼尖跟踪技术

doi:CNKI:11-1929/V.20110517.1516.005

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基于梯度方向二值模式特征的飞机翼尖跟踪技术

孙瑾^1,2, 顾宏斌^1,2, 侯建波^1,2

1. 南京航空航天大学民航学院, 江苏南京 210016;
2. 南京航空航天大学飞行模拟与先进培训工程技术研究中心, 江苏南京 210016

收稿日期:2011-01-25 修回日期:2011-03-22 出版日期:2011-11-25 发布日期:2011-11-24
通讯作者: 孙瑾 E-mail:sunjinly@nuaa.edu.cn
作者简介:孙瑾(1978- ) 女,博士,讲师。主要研究方向:机场场面监控,虚拟现实系统应用等。 Tel: 025-84890755 E-mail: sunjinly@nuaa.edu.cn 顾宏斌(1956- ) 男,博士,教授,博士生导师。主要研究方向:飞行模拟和飞行安全、虚拟现实系统应用等。 Tel: 025-84893501 E-mail: ghb@nuaa.edu.cn 侯建波(1987- ) 男,硕士研究生。主要研究方向:航空器运行品质与分析。 Tel: 025-84890755 E-mail: jianbo87@163.com
基金资助:
国家自然科学基金 (60776812);国家"863"计划(2007AA01Z306);中国民用航空总局科技项目(MHRD0723);南京航空航天大学青年科技创新基金(NS2010175)

Aircraft Wingtip Tracking Algorithm Based on Oriented Gradient Local Binary Pattern

SUN Jin^1,2, GU Hongbin^1,2, HOU Jianbo^1,2

1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
2. Engineering Technology Research Center of Flight Simulation & Advanced Training, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received:2011-01-25 Revised:2011-03-22 Online:2011-11-25 Published:2011-11-24

摘要/Abstract

摘要： 研究基于视频图像分析与定位的飞机翼尖跟踪技术,为飞机地面移动提供安全保障。现有图像特征进行翼尖跟踪经常失效且计算效率低下,本文结合纹理和轮廓信息,提出以梯度方向二值模式(OG_LBP)为特征的粒子滤波跟踪算法,降低特征维数的同时建立局部和全局的翼尖特征直方图描述,提高识别效果。同时,该算法在粒子滤波基本框架之下,结合当前观测信息,通过粒子传播半径的自适应更新建立系统状态模型,降低粒子集的衰减程度,提高算法效率。实验结果表明,该算法有效降低计算复杂度,在各种复杂背景下均可实现各种翼尖实时、有效的跟踪,并更具鲁棒性。

关键词: 视频跟踪, 粒子滤波, 贝叶斯网络, 局部二值模式, 梯度方向

Abstract: In order to provide security assurance for aircraft ground movement, wingtip tracking is proposed which is based on video image processing and analysis techniques. Due to the poor performance of the existing tracking features for a wingtip, this paper presents a new tracking algorithm within a particle filtering tracking framework which adopts oriented gradient local binary pattern(OG_LBP) descriptors to integrate texture and contour information. The OG_LBP descriptor not only reduces the histogram dimensionality but also expresses both local and holistic features of the wingtip image to enhance the discrimination. In addition, via combining the observation information of the current frame, the new tracking algorithm establishes a model of the target state. Furthermore, the radius of particle propagation is updated adaptively by the similarity between the target model and each hypothesis of the particle, which can overcome the degeneracy problem in particle filtering and result in low computational cost. Experimental results show that the proposed algorithm can achieve an accurate and robust tracking performance for different wingtips with complex background in real-time.

Key words: visual tracking, particle filter, Bayesian network, local binary pattern, oriented gradient

中图分类号:

V351.3
TP391

孙瑾, 顾宏斌, 侯建波, . 基于梯度方向二值模式特征的飞机翼尖跟踪技术[J]. 航空学报, 2011, 32(11): 2062-2072.

SUN Jin, GU Hongbin, HOU Jianbo. Aircraft Wingtip Tracking Algorithm Based on Oriented Gradient Local Binary Pattern[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2011, 32(11): 2062-2072.

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E-mail：hkxb@buaa.edu.cn

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于梯度方向二值模式特征的飞机翼尖跟踪技术

Aircraft Wingtip Tracking Algorithm Based on Oriented Gradient Local Binary Pattern

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