Human target identification and automated shape based target recognition algorithms using target silhouette

摘要

Human target identification performance based on target silhouettes is measured and compared to that of complete targets. The target silhouette identification performance of automated region based and contour based shape identification algorithms are also compared. The region based algorithms of interest are Zernike Moment Descriptor (ZMD), Geometric Moment Descriptor (GMD), and Grid Descriptor (GD) while the contour based algorithms considered are Fourier Descriptor (FD), Multiscale Fourier Descriptor (MFD), and Curvature Scale Space Descriptor (CS). The results from the human perception experiments indicate that at high levels of degradation, human identification of target based on silhouettes is better than that of complete targets. The shape recognition algorithm comparison shows that GD performs best, very closely followed by ZMD. In general region based shape algorithms perform better that contour based shape algorithms.