Enhancing dynamic videos for surveillance and robotic applications: The robust bilateral and temporal filter

dc.contributor.author Andry Maykol Pinto en
dc.contributor.author Paulo José Costa en
dc.contributor.author Miguel Velhote Correia en
dc.contributor.author António Paulo Moreira en
dc.date.accessioned 2017-11-20T10:57:03Z
dc.date.available 2017-11-20T10:57:03Z
dc.date.issued 2014 en
dc.description.abstract Over the last few decades, surveillance applications have been an extremely useful tool to prevent dangerous situations and to identify abnormal activities. Although, the majority of surveillance videos are often subjected to different noises that corrupt structured patterns and fine edges. This makes the image processing methods even more difficult, for instance, object detection, motion segmentation, tracking, identification and recognition of humans. This paper proposes a novel filtering technique named robust bilateral and temporal (RBLT), which resorts to a spatial and temporal evolution of sequences to conduct the filtering process while preserving relevant image information. A pixel value is estimated using a robust combination of spatial characteristics of the pixel's neighborhood and its own temporal evolution. Thus, robust statics concepts and temporal correlation between consecutive images are incorporated together which results in a reliable and configurable filter formulation that makes it possible to reconstruct highly dynamic and degraded image sequences. The filtering is evaluated using qualitative judgments and several assessment metrics, for different Gaussian and Salt Pepper noise conditions. Extensive experiments considering videos obtained by stationary and non-stationary cameras prove that the proposed technique achieves a good perceptual quality of filtering sequences corrupted with a strong noise component. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/3685
dc.identifier.uri http://dx.doi.org/10.1016/j.image.2013.11.003 en
dc.language eng en
dc.relation 5153 en
dc.relation 5446 en
dc.relation 4996 en
dc.relation 5157 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title Enhancing dynamic videos for surveillance and robotic applications: The robust bilateral and temporal filter en
dc.type article en
dc.type Publication en