Variational optical flow estimation for images with spectral and photometric sensor diversity

Tomas Bengtsson; Tomas McKelvey; Konstantin Lindström

doi:10.1117/12.2180109

4 March 2015 Variational optical flow estimation for images with spectral and photometric sensor diversity

Tomas Bengtsson, Tomas McKelvey, Konstantin Lindström

Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94431U (2015) https://doi.org/10.1117/12.2180109
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China

Abstract

Motion estimation of objects in image sequences is an essential computer vision task. To this end, optical flow methods compute pixel-level motion, with the purpose of providing low-level input to higher-level algorithms and applications. Robust flow estimation is crucial for the success of applications, which in turn depends on the quality of the captured image data. This work explores the use of sensor diversity in the image data within a framework for variational optical flow. In particular, a custom image sensor setup intended for vehicle applications is tested. Experimental results demonstrate the improved flow estimation performance when IR sensitivity or flash illumination is added to the system.

Citation Download Citation

Tomas Bengtsson, Tomas McKelvey, and Konstantin Lindström "Variational optical flow estimation for images with spectral and photometric sensor diversity", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94431U (4 March 2015); https://doi.org/10.1117/12.2180109

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