Mar 3, 2008 · We present a method for efficiently generating a representation of a multi-modal posterior probability distribution.

Multi-Modal Tracking using Texture Changes. Christopher Kemp and Tom Drummond ... In [13] we proposed a tracking system similar to [9] but used a 1D texture ...

Mar 3, 2008 · We present a method for efficiently generating a representation of a multi-modal posterior probability distribution.

We present a method for efficiently generating a representation of a multi-modal posterior probability distribution. The technique combines ideas from ...

We present a method for efficiently generating a representation of a multi-modal posterior probability distribution. The technique combines ideas from.

Oct 9, 2024 · A neural network architecture for simultaneous object segmentation and estimation of fiducial points of the object on RGB images is proposed.

Visual object tracking aims to accurately predict the bounding box of an object by leveraging the rich information from dual modalities.

In this thesis, we address the problem of tracking deformable, dynamically textured regions under challenging conditions involving visual clutter, distractions, ...

Generic visual object tracking is the task of tracking one or several objects in all frames in a video, knowing only the location and size of the target in ...

Mar 25, 2020 · First, the HLBP texture feature and color feature are employed to describe the target feature in order to improve the robustness of the tracking ...