Clutter effects on airborne tracking resolution requirements for urban vehicles

Aaron L. Robinson; Brian Miller; Phillip Richardson; Chun Ra

doi:10.1117/12.850381

22 April 2010 Clutter effects on airborne tracking resolution requirements for urban vehicles

Aaron L. Robinson, Brian Miller, Phillip Richardson, Chun Ra

Proceedings Volume 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI; 76620P (2010) https://doi.org/10.1117/12.850381
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

This paper details the development, experimentation, collected data and the results of research designed to gain an understanding of the effects of clutter on the temporal and spatial image collection guidelines for tracking urban vehicles. More specifically, a quantitative understanding of the relationship between human observer performance and the spatial and temporal resolution is sought. Performance is measured as a function of the number of video frames per second, imager spatial resolution and the ability of the observer to accurately determine the destination of a moving vehicle target as it encounters vehicles with similar infrared signatures. The research is restricted to data and imagery collected from altitudes typical of modern low to mid altitude persistent surveillance platforms using a wide field of view. The ability of the human observer to perform an unaided track of the vehicle was determined by their completion of carefully designed perception experiments. In these experiments, the observers were presented with simulated imagery from Night Vision's EOSim urban terrain simulator. The details of the simulated targets and backgrounds, the design of the experiments and their associated results are included in this treatment.

Citation Download Citation

Aaron L. Robinson, Brian Miller, Phillip Richardson, and Chun Ra "Clutter effects on airborne tracking resolution requirements for urban vehicles", Proc. SPIE 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI, 76620P (22 April 2010); https://doi.org/10.1117/12.850381

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KEYWORDS

Target detection

Sensors

Video

Video surveillance

Surveillance

Imaging systems

Spatial resolution

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