This paper deals with non-rigid object localization in an image, from object colors. Our method allows detection in an image of all the objects, ...

The mean shift is a nonparametric estimator of density gradient, proposed in 1975 by Fukunaga [5], in order to apply it for pattern recognition problems.

This paper deals with non-rigid object localization in an image, from object colors. Our method allows detection in an image of all the objects, ...

This paper deals with non-rigid object localization in an image, from object colors, by creating a binary image, which represents the repartition of the ...

This paper deals with non-rigid object localization in an image, from object colors. Our method allows detection in an image of all the objects which ...

Abstract: This paper deals with non-rigid object localization in an image, from object colors. Our method allows detection in an image of all the objects, which ...

The mean shift iterations are employed to find the target candidate that is the most similar to a given target model, with the similarity being expressed by a.

Apr 22, 2021 · We analyze and study the tracking of nonrigid complex targets of sports video based on mean shift fusion color histogram algorithm.

An efficient scheme for real-time color-based tracking of non-rigid objects is proposed. The central computational module is based on mean shift iterations.

Jul 10, 2024 · Mean-shift is a kernel object tracking of non-rigid objects based on visual features, such as color and/or brightness, whose statistical ...