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

Srikant K. Chari; Carl E. Halford; Eddie Jacobs

doi:10.1117/12.777337

11 April 2008 Human target identification and automated shape based target recognition algorithms using target silhouette

Srikant K. Chari, Carl E. Halford, Eddie Jacobs

Author Affiliations +

Proceedings Volume 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX; 69410B (2008) https://doi.org/10.1117/12.777337
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

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.

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Srikant K. Chari, Carl E. Halford, and Eddie Jacobs "Human target identification and automated shape based target recognition algorithms using target silhouette", Proc. SPIE 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX, 69410B (11 April 2008); https://doi.org/10.1117/12.777337

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