基于光流场技术的复杂背景下运动目标跟踪

Moving target tracking based on optical flow field analysis in complex background

针对光电经纬仪在飞机起飞着陆段跟踪角速度大、背景复杂的情况,根据小波多分辨率技术,提出利用小波分层组成低频图像金字塔,利用光流技术进行匹配解算,实现由粗到精的特征点匹配跟踪。通过对飞行试验视频图像进行事后自动跟踪试验,结果表明,该算法能够稳定可靠跟踪多特征点目标,具有鲁棒性。

A novel automated method is developed to track aircraft takeoff and landing in a complex background. It involves three processes, Firstly, low frequency image pyramid is represented based on Wavelet multi-resolution and hierarchical theory. Then, an optical flow approach is used for matching of the pyramid representation. Finally the tracking method is completed through coarse-to-fine matching of feature point tracking. This method is evaluated by tracking flight video and found to track multiple targets with stability, reliability and robustness.