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Currently, many applications require following objects through a sequence of images. Typically, the motion is estimated by calculating the optical flow on monochrome images because it involves fewer computational cost. However, sometimes the intensity of the pixels may not be sufficient to successfully achieve the objective of identifying moving objects. In this paper, it is proposed to use models...
Illumination-robust optical flow algorithms are needed in numerous machine vision applications such as vision-based intelligent vehicles, surveillance and traffic monitoring. Recently, we have proposed an implicit nonlinear scheme for variational optical flow that assumes no particular analytical form of energy functional and can accommodate various image components and data metrics. Using test data...
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