High-speed target tracking by fuzzy hostility-induced segmentation of optical flow field
Applied Soft Computing
A low complexity motion segmentation based on semantic representation of encoded video streams
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Foetal motion classification using optical flow displacement histograms
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Vision-based motion detection, analysis and recognition of epileptic seizures-A systematic review
Computer Methods and Programs in Biomedicine
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This paper presents the development of regularized optical flow computation methods and an evaluation of their performance in the extraction of quantitative motion information from video recordings of neonatal seizures. A general formulation of optical flow computation is presented and a mathematical framework for the development of practical tools for computing optical flow is outlined. In addition, this paper proposes an alternative formulation of the optical flow problem that relies on a discrete approximation of a family of quadratic functionals. These regularized optical flow computation methods are used to extract motion strength signals from video recordings of neonatal seizures.