To further justify our choice of KLT tracking, we compare our GPU-based KLT tracker with two different keyframe selection strategies.
Using a combination of live trapping and spool and line tracking, we compare the relative abundance, mass, and demographic turnover of the endangered Stephens' kangaroo rat (Dipodomys stephensi) on dirt and gravel roads in comparison with adjacent grassland habitat.
To detect sample tracking errors, we compared genotypes between all samples.
In this article, we present the quantitative measure for inhomogeneity of genome tracks, robust statistical criteria, and an algorithm for the analysis of correlations between two genome tracks, and we compare the different packages.
Here, we compared tracking performance for identical upright and inverted faces, as well as for upright and inverted houses, selected as a control stimulus that is not biological and is less sensitive to inversion.
We compared tracking performance for point-light walkers that had a motion translation consistent with their internal motion pattern, with point-light "moon-walkers", whose local motion pattern suggested they were walking in one direction, while they in fact moved globally in the opposite direction.
We compared the tracking accuracy of our system with a baseline method that was created based on the KLT tracker.
We compared various measures for tracking progression and predicting conversion to manifest Huntington's disease.
We compare the tracking performance obtained with four methods: 1. SQKF/S operating under the Gaussian assumption without accounting for the non-Gaussian nature of the measurement noise (SQKF/S-G). 2.
In this paper, we compare identity preserving 3D tracking approaches for long-term experiments considering biological usability.
