基于Hu相关滤波的光学卫星视频点目标跟踪

Satellite video point-target tracking based on Hu correlation filter

针对光学卫星视频运动目标跟踪问题进行研究,提出一种鲁棒的特征描述和匹配跟踪方法.引入相关滤波的思想,首先利用样本集的Hu不变矩和中值滤波,建立目标的跟踪模板并进行目标特征描述.然后,将目标跟踪的判断区域降维处理,建立判断区域的Hu置信模型.利用FFT推导了快速相关法,进而通过求得跟踪置信图最大值实现目标跟踪.针对跟踪轨迹采用卡尔曼滤波辅助和优化跟踪处理,提高算法的鲁棒性.试验数据采用SkySat和吉林一号拍摄的视频各两段,对5个点目标进行跟踪试验,跟踪精度优于90%,跟踪过程目标不丢失,且轨迹平滑.针对13×13的判断区域,与一般相关性方法相比,处理速度可提升约5倍.可为光学卫星视频点目标实现快速可靠跟踪提供技术基础.

Aiming at the moving object tracking problem of satellite video,a robust method of feature description and matching based point-target tracking is proposed.The idea of correlation filter is introduced.Firstly,Hu invariant moments and median filtering of the sample set are used to establish the tracking template of the target and describe the target features.Then,the dimension of the decision area of target tracking is reduced and the Hu confidence model of the judgment area is established.Finally,the target tracking is achieved by finding the maximum value of the tracking confidence map by using the fast FFT derivation correlation method.Moreover,the robustness of the algorithm is improved by using Kalman filtering to assist and optimize the tracking process.The experimental video data are taken from SkySat-1 and Jinlin-1 satellites.The tracking experiments of 5 point targets show that the proposed method achieves good results in the satellite video,and that the accuracy is better than 90%.The target is not lost in the whole tracking process and the tracking trajectory is smooth.In addition,for the 13×13 judgment area,the processing speed of the confidence map is about 5 times higher than the conventional correlation method.This method can provide a technical basis for achieving fast and reliable tracking of point targets in satellite video.