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基于空间偏振混叠特性的红外偏振视频目标跟踪

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基于分焦平面的红外偏振摄像仪体积小、实时性好、精确度高，并能有效应对复杂天候与红外伪装等干扰，但输出的偏振马赛克视频需要去马赛克并计算偏振参数，这种耗时较长且存在误差的处理方式限制了该设备在实时目标跟踪领域的应用。为解决这一问题，分析了红外偏振马赛克图像中空间信息与偏振信息的混叠特性，提出基于空间偏振混叠梯度的马赛克图像空间偏振梯度方向直方图特征。特征利用偏振通道之间的空间相关性，设计空间梯度算子获取图像的空间信息，并利用偏振伪全色图像与偏振通道之间的关联性设计偏振梯度算子，结合图像空间信息与偏振信息构建目标特征。将该特征应用于AutoTrack目标跟踪方法，实现了基于空间-偏振混叠信息的实时红外偏振视频目标跟踪。在实拍的红外偏振马赛克视频数据上的实验结果表明，该特征提取方法可提高红外偏振图像的目标跟踪实时性和准确性，并有效利用马赛克图像的偏振信息。
Object Tracking Based on Spatial-polarization Aliasing for Infrared Polarization Video
The division-of-focal-plane ( DoFP )-based Infrared polarization imager has a strong anti-interference against complex weather and infrared camouflage while having the advantages of small size,batter real-time and high accuracy as well. However,the polarization mosaic image obtained by the imager need to be demosaiced and the polarization parameters should be calculated,which are time-consuming and contains inevitable errors,thus limiting the application of the imager in real-time object tracking. To solve this problem,the correlation between the spatial and polarization field is studied,and an object tracking method based on the designed histograms of spatial-polarization mixture gradient ( HSPMG) feature extraction method is proposed. A spatial gradient operator is designed to obtain the spatial information of an image based on the spatial correlation between the polarization channels,and a polarized gradient operator is designed based on the polarization pseudo-panchromatic image ( PPPI) and the spatial correlation between the polarization channels. Then the HSPMG feature is constructed based on the spatial and polarization information. To implement tracking on the infrared polarization mosaic image based on the spatial-polarization aliasing information,the HSPMG feature is applied to the AutoTrack object tracking method. Experiences on the infrared polarization mosaic dataset demonstrate that the feature extraction method could enhance the accuracy and speed of object tracking result.

polarization imagefeature extractionobject trackingspatial-polarization mixture gradient

乔新博、赵永强、张景程

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西北工业大学 自动化学院,陕西 西安710072

偏振图像 特征提取 目标跟踪 空间偏振混叠梯度

国家自然科学基金项目陕西省重点研发计划项目深圳市科技创新委员会基础研究(学科布局)项目深圳市科技创新委员会基础研究(自由探索)项目中央高校基础研究基金资助项目(2022年)

617713912020ZDLGY07-11JCYJ20170815162956949JCYJ20180306171146740

2024

10.12382/bgxb.2023.0600

兵工学报
中国兵工学会

兵工学报

CSTPCD北大核心
影响因子：0.735
ISSN：1000-1093
年,卷(期)：2024.45(9)
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