In this paper, we extend the algorithm of mining auxiliary objects for tracking by incorporating multibody grouping to detect the motion correlation and ...

In this paper, we ex- tend the algorithm of mining auxiliary objects for tracking by incorporating multibody grouping to detect the motion corre- lation and ...

In this paper, we extend the algorithm of mining auxiliary objects for tracking by incorporating multibody grouping to detect the motion correlation and ...

Fingerprint. Dive into the research topics of 'Mining auxiliary objects for tracking by multibody grouping'. Together they form a unique fingerprint.

A novel solution to this dilemma is presented by integrating into the tracking process a set of auxiliary objects that are automatically discovered in the ...

On-line discovery of some auxiliary objects to verify the tracking results is a novel approach to achieving robust tracking by balancing the need for strong ...

For auxiliary object candidates, multibody grouping is employed to discover the potential multibody structure from motion and to estimate the affine motion ...

A unified multi-modal single object tracking framework with advanced tracking performance. An efficient multi-modal feature interaction and fusion strategy.

We propose a text-guided multi-class multi-object tracking (TG-MCMOT) method. To handle the problem raised by fine-grained classes, we design a multi-modal ...

Mining Auxiliary Objects for Tracking by Multibody Grouping. January 2007 ... In this paper, we extend the algorithm of mining auxiliary objects for tracking ...