Sentence examples for build a background model from inspiring English sources

Firstly, we build a background model with CB algorithm.

Suppose a buffer of 50 previous frames is used to build a background model.

We want to build a background model for each frame such that the only 'foreground' would be the real fish.

This advantage allows us to build a background model of relatively few samples, since the classifier is not very sensitive to the robustness of the background model.

We exploit this specific feature of these videos to build a background model for each frame using the similar frames that exist in the whole video.

Our main contribution is to exploit the periodicity of the videos and build a background model, which enables us to discount all moving parts of the set-up except the fish.

Stauffer and Grimson [9] address the low- and the high-intensity regions problem by using a mixture of Gaussians to build a background color model for every pixel.

Second, we build a background distribution with these data.

To build a correct background model when training samples are not foreground-free, we propose a novel robust dictionary learning algorithm.

For the regions of the sequences not covered by signals, we further build a uniform background model with nucleotide frequency b.

We exploit the semi-periodic nature of the videos to build an accurate background model for each model.