Variational Optical Flow Estimation for Images with Spectral and Photometric Sensor Diversity
Paper i proceeding, 2015

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.

Sensor diversity

Variational framework

Optical flow

Infrared

Författare

Tomas Bengtsson

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Tomas McKelvey

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Konstantin Lindström

Proceedings of SPIE - The International Society for Optical Engineering

0277786X (ISSN) 1996756X (eISSN)

Vol. 9443 Art. no. 94431U- 94431U

Ämneskategorier

Signalbehandling

DOI

10.1117/12.2180109

ISBN

978-1-62841-558-2

Mer information

Skapat

2017-10-08