Estimation of target range and orientation from video images for law enforcement applications

Anthony G. Galaitsis

doi:10.1117/12.479319

14 August 2002 Estimation of target range and orientation from video images for law enforcement applications

Anthony G. Galaitsis

Proceedings Volume 4708, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Defense and Law Enforcement; (2002) https://doi.org/10.1117/12.479319
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

Under National Ground Intelligence Center (NGIC) sponsorship, BBN Technologies (BBN) has developed a physical model and a software utility to estimate the range and orientation of a target from video images and known geometric information about the target. This capability can be used in conjunction with law enforcement sensor systems to enhance situation assessment and facilitate the associated decisions process. The target range and orientation estimation system (Video Range Finder) allows the user to associate identifiable features of the video image with physical components of the target through an interactive process. The three-dimensional polyhedron defined by the location of these components in the coordinate frame of the target, is projected along the viewing axis onto a two-dimensional polygonal image at the focal plane of the video camera. The azimuth, elevation, and viewing-axis rotation angles are obtained by solving numerically the associated non-linear projection equations. The calculated angles are subsequently used in the estimation of the target range. The paper discusses the solution method and demonstrates the application of the system using both simulated and real objects.

Citation Download Citation

Anthony G. Galaitsis "Estimation of target range and orientation from video images for law enforcement applications", Proc. SPIE 4708, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Defense and Law Enforcement, (14 August 2002); https://doi.org/10.1117/12.479319

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KEYWORDS

Cameras

Video

Video surveillance

3D image processing

3D modeling

Computer simulations

Image processing

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