Radiometric Features for Vehicle Classification with Infrared Images

Date

2017-04-11

Author

Ozsarac, Seckin
Akar, Gözde

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A vehicle classification system, which uses features based on radiometry, is developed for single band infrared (IR) image sequences. In this context, the process is divided into three components. These are moving vehicle detection, radiance estimation, and classification. The major contribution of this paper lies in the usage of the radiance values as features, other than the raw output of IR camera output, to improve the classification performance of the detected objects. The motivation behind this is that each vehicle class has a discriminating radiance value that originates from the source temperature of the object modified by the intrinsic characteristics of the radiating surface and the environment. As a consequence, significant performance gains are achieved due to the use of radiance values in classification for the utilized measurement system.

Subject Keywords

Infrared imaging, Radiometric features, Radiometry, Vehicle classification, Vehicle detection

URI

https://hdl.handle.net/11511/36135

DOI

https://doi.org/10.1117/12.2261718

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

S. Ozsarac and G. Akar, “Radiometric Features for Vehicle Classification with Infrared Images,” 2017, vol. 10202, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36135.