Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation

Webster, D.D.; Breckon, T.P.

doi:10.1109/ICIP.2015.7351633

Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation

Webster, D.D.; Breckon, T.P.

Authors

D.D. Webster

Professor Toby Breckon toby.breckon@durham.ac.uk
Professor

Abstract

The presence of raindrop induced image distortion has a significant negative impact on the performance of a wide range of all-weather visual sensing applications including within the increasingly import contexts of visual surveillance and vehicle autonomy. A key part of this problem is robust raindrop detection such that the potential for performance degradation in effected image regions can be identified. Here we address the problem of raindrop detection in colour video imagery using an extended feature descriptor comprising localised shape, saliency and texture information isolated from the overall scene context. This is verified within a bag of visual words feature encoding framework using Support Vector Machine and Random Forest classification to achieve notable 86% detection accuracy with minimal false positives compared to prior work. Our approach is evaluated under a range of environmental conditions typical of all-weather automotive visual sensing applications.

Citation

Webster, D., & Breckon, T. (2015). Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation. In Proc. Int. Conf. on Image Processing (4376-4380). https://doi.org/10.1109/ICIP.2015.7351633

Conference Name	Proceedings of IEEE International Conference on Image Processing
Conference Location	Québec City, Canada
Start Date	Sep 27, 2015
End Date	Sep 30, 2015
Publication Date	2015
Deposit Date	Oct 4, 2015
Publicly Available Date	Oct 13, 2015
Publisher	Institute of Electrical and Electronics Engineers
Pages	4376-4380
Book Title	Proc. Int. Conf. on Image Processing
DOI	https://doi.org/10.1109/ICIP.2015.7351633
Keywords	raindrop detection, rain detection, rain removal, rain noise removal, rain interference, scene context, raindrop saliency, rain classification
Public URL	https://durham-repository.worktribe.com/output/1151972
Publisher URL	https://breckon.org/toby/publications/papers/webster15raindrop.pdf
Related Public URLs	http://breckon.eu/toby/publications/papers/webster15raindrop.pdf

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