Sentence examples for robust tracking of features from inspiring English sources

In this paper, we present a novel monocular visual odometry method based on the robust tracking of features in the ground plane.

The results both on the KITTI and the Diepenbeek/Hasselt datasets clearly show that this corrected scale is less accurate than the scale obtained by our robust tracking of ground plane features.

This prediction processing contributes to robust tracking of human regions.

An important technique for detecting the PersonRuns behavior is robust tracking of fast moving objects.

This article proposes a robust tracking approach with an adaptive integration of multiple visual features for vehicles.

It is our interest to employ multiple visual features under a robust tracking framework.

In this paper, we propose a robust tracking method based on the collaboration of a generative model and a discriminative classifier, where features are learned by shallow and deep architectures, respectively.

This article presents a robust tracking approach for multiple vehicles using adaptive integration of multiple visual features.

While point-based features provide robust detection against photometric and geometric distortions, the tracking of these features over subsequent frames becomes difficult as the number of matching points between a pair of images drops quickly with slight variation in target attribute owing to above mentioned variations.

In the absence of quantifiable data and robust tracking measures, great individual stories that show impact can be great substitutes.

Various complementary features can be combined to derive more robust tracking results.