基于空间偏振混叠特性的红外偏振视频目标跟踪

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.