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Found 8 papers, 0 papers with code
Oriented bounding boxes using multiresolution contours for fast interference detection of arbitrary geometry objects
The hierarchically structured bounding boxes help us to quickly isolate the contour of segments in interference.
Error concealment by means of motion refinement and regularized Bregman divergence
This work addresses the problem of error concealment in video transmission systems over noisy channels employing Bregman divergences along with regularization.
Regularized Pel-Recursive Motion Estimation Using Generalized Cross-Validation and Spatial Adaptation
The computation of 2-D optical flow by means of regularized pel-recursive algorithms raises a host of issues, which include the treatment of outliers, motion discontinuities and occlusion among other problems.
Adaptive mixed norm optical flow estimation
It relies on the use of a data-driven technique called Mixed Norm (MN) to estimate the best motion vector for a given pixel.
EM-Based Mixture Models Applied to Video Event Detection
Surveillance system (SS) development requires hi-tech support to prevail over the shortcomings related to the massive quantity of visual information from SSs.
Sub-pixel accuracy edge fitting by means of B-spline
The data likelihood is computed as a consequence of the observation model which includes both orientation and position information.
Total Variation Applications in Computer Vision
The objectives of this chapter are: (i) to introduce a concise overview of regularization; (ii) to define and to explain the role of a particular type of regularization called total variation norm (TV-norm) in computer vision tasks; (iii) to set up a brief discussion on the mathematical background of TV methods; and (iv) to establish a relationship between models and a few existing methods to solve problems cast as TV-norm.
Blind signal separation and identification of mixtures of images
In this paper, a fresh procedure to handle image mixtures by means of blind signal separation relying on a combination of second order and higher order statistics techniques are introduced.
