A method is proposed to estimate the size of the tracking procedure convergence region for each feature so that the features that have a wider convergence ...
A two step method is used iteratively to find the most probable target position, scale and orientation. The first step is to find the position using a mean ...
Dive into the research topics of 'Better features to track by estimating the tracking convergence region'. Together they form a unique fingerprint. Region Earth ...
The paper is organized as follows. First, the LucasKanade procedure for feature tracking and the Shi-Tomasi method for feature selection are briefly described.
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Better features to track by estimating the tracking convergence region. Authors. Zivkovic, Z.; van der Heijden, F. Publication. Object Recognition Supported by ...
Dive into the research topics of 'Better features to track by estimating the tracking convergence region'. Together they form a unique fingerprint. Sort by ...
In this report we show how to monitor the quality of image features during tracking. ... A more quantitative idea of the convergence of the tracking algorithm is ...
In this paper we show how to monitor the quality of image features during tracking by using a measure of feature dissimilarity that quantifies the change of ap-.
A Robust Object Detecting and Tracking Method · Better features to track by estimating the tracking convergence region · The Efficient Features for Tracking · SURF ...
Better Features to Track by Estimating the Tracking Convergence Region ... Region Tracking via Level Set PDEs Without Motion Computation · A. -R ...