Model-based system for vehicle detection and identification

Jerald A. Herstein; Rodney L. Pickens; William W. Boyd

doi:10.1117/12.161431

20 October 1993 Model-based system for vehicle detection and identification

Jerald A. Herstein, Rodney L. Pickens, William W. Boyd

Proceedings Volume 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition; (1993) https://doi.org/10.1117/12.161431
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

The detection and identification of vehicles in forward looking infrared (FLIR) images presents a number of problems. Not only is the view of the vehicle influenced by its orientation and the position of the sensor, but it is also affected by the environment. To counter these effects, we have developed a set of algorithms which use models of both the vehicles of interest and the environment to aid detection and identification. This algorithm set consists of an area-of-interest locator, an object segmenter, and a template matcher. These algorithms are controlled by a process which uses information about the vehicles and the environment to select input parameters for the processing algorithms. This article contains a description of the detection and identification system algorithms, the performance characterization of the individual algorithms, and the temporal fusion performance prediction results.

Citation Download Citation

Jerald A. Herstein, Rodney L. Pickens, and William W. Boyd "Model-based system for vehicle detection and identification", Proc. SPIE 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition, (20 October 1993); https://doi.org/10.1117/12.161431

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