Radiometric Features for Vehicle Classification with Infrared Images

Ozsarac, Seckin
Akar, Gözde
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.


Effects of atmospheric correction on vehicle classification with single and dual band infrared images
Özsaraç, Seçkin; Akar, Gözde; Department of Electrical and Electronics Engineering (2014)
A vehicle classification system, which uses features based on radiometry, is developed for both single band and dual band infrared (IR) image sequences. For classification using dual band sequences, the process is divided into six components. These are registration, fusion, moving vehicle detection, geometry estimation, atmospheric effects removal, and classification. In the single band case, registration and fusion steps are not used. The first major novelty of the thesis is an atmospheric correction, i.e....
Atmospheric Effects Removal for the Infrared Image Sequences
Ozsarac, Seckin; Akar, Gözde (2015-09-01)
Accurate correction of atmospheric effects on data captured by an infrared (IR) camera is crucial for several applications such as vegetation monitoring, temperature monitoring, satellite images, hyperspectral imaging, numerical model simulations, surface properties characterization, and IR measurement interpretation. Atmospheric effects depend on the temporal changes, i. e., year, season, day, hour, etc., and on the geometry between the camera and the measured scene, i. e., line of sight. The orientation a...
A Comparison of MWIR and LWIR Imaging Systems with regard to Range Performance
Turgut, Berk Berkan; Artan, Goktug Gencehan; Bek, Alpan (2018-04-18)
Range performance of an imaging system is a key factor for an infrared search and tracking system with a purpose of detection, recognition and identification. Therefore, the prediction of the expected range performance is of utmost importance. The range prediction includes many variables that affect the outcome. Wavelength is one of the most important parameters because it has an enormous effect on range, but detector technology directly related to range performance. In this study, MWIR and LWIR imaging sy...
GPU based infrared signature modeling and scene simulation /
Kavak, Çağlar; Akar, Gözde; Akyüz, Ahmet Oğuz; Department of Electrical and Electronics Engineering (2014)
The need of a fast and high fidelity scene simulation system is important for the development of modern infrared (IR) imaging systems. The performance testing of these systems is expensive and also depends on environment conditions. However, computer based systems can provide a cost effective alternative to field trials. Ray tracing provides physical accuracy and photo realism for scene generation. However, it has computationally intensive nature and conventionally used for non-real time applications. The d...
KIRAGI, H; Ersak, Aydın (1994-04-14)
In this paper an object recognition and localization system based on ultrasonic range imaging to be used in optically opaque environments is introduced. The system is especially designed for robotics applications. The ultrasonic image is acquired by scanning ultrasonic transducers in two dimensions above the area where objects are located. The features that are used for recognition and localization processes are extracted from the outermost boundaries of the objects present in the input scene. Experimental ...
Citation Formats
S. Ozsarac and G. Akar, “Radiometric Features for Vehicle Classification with Infrared Images,” 2017, vol. 10202, Accessed: 00, 2020. [Online]. Available: