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Variational Optical Flow Estimation for Images with Spectral and Photometric Sensor Diversity

Tomas Bengtsson (Institutionen för signaler och system, Signalbehandling) ; Tomas McKelvey (Institutionen för signaler och system, Signalbehandling) ; Konstantin Lindström
Sixth International Conference on Graphic and Image Processing (ICGIP 2014), Beijing, China, 24-26 October 2014 (0277-786X). Vol. 9443 (2015), p. Art. no. 94431U.
[Konferensbidrag, refereegranskat]

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.

Nyckelord: Optical flow, Sensor diversity, Infrared, Variational framework

Denna post skapades 2015-02-20. Senast ändrad 2015-12-03.
CPL Pubid: 212882


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Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling (1900-2017)



Chalmers infrastruktur