基于SIFT和仿射变换的航空器起飞图像跟踪方法

摘要

针对机场监视的需要，结合航空器起飞特征，研究了尺度不变特征变换( SIFT)算法和仿射变换模型，在对图像进行灰度图像序列处理的基础上，提出了将SIFT特征点跟踪与仿射变换相结合对航空器起飞信息识别、跟踪的方法。以滨海国际机场的一个起飞过程为例，对图像序列进行了运动目标识别和帧间特征点的匹配，验证了方法的可行性，为机场航空器的起飞跟踪方法提供参考。%For the needs of airport surveillance, Scale Invariant Feature Transform ( SIFT) algorithm and affine transformation model are studied with considering the aircraft takeoff characteristics. SIFT feature point tracking and affine transformation combines information on the aircraft takeoff identification and tracking methods are proposed with the basis of image processing on gray image sequence. The method is verified by a takeoff instance of Binhai International Airport that moving target identification and inter-frame feature points of the image sequence are matched. It provides a reference for the airport takeoff air-craft tracking.