Abstract
Optical flow has got a major role in making advanced driver assistance systems (ADAS) a reality. ADAS applications are expected to perform efficiently in all kinds of environments, those are highly probable, that one can drive the vehicle in different kinds of roads, times and seasons. In this work, we study the relationship of optical flow with different roads, that is by analyzing optical flow accuracy on different road textures. Texture measures such as \(contrast\), \(correlation\) and \(homogeneity\) are evaluated for this purpose. Further, the relation of regularization weight to the flow accuracy in the presence of different textures is also analyzed. Additionally, we present a framework to generate synthetic sequences of different textures in ADAS scenarios with ground-truth optical flow.
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Acknowledgments
This work has been partially supported by the Spanish Government under Research Program Consolider Ingenio 2010: MIPRCV (CSD2007-00018) and Project TIN2011-25606. Naveen Onkarappa is supported by FI grant of AGAUR, Catalan Government. The authors would like to thank Oisin Mac Aodha for providing the Python code for raytracing with Maya.
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Onkarappa, N., Veerabhadrappa, S.M., Sappa, A.D. (2013). Optical Flow in Onboard Applications: A Study on the Relationship Between Accuracy and Scene Texture. In: S, M., Kumar, S. (eds) Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012). Lecture Notes in Electrical Engineering, vol 221. Springer, India. https://doi.org/10.1007/978-81-322-0997-3_24
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DOI: https://doi.org/10.1007/978-81-322-0997-3_24
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