Sentence examples for classification of background from inspiring English sources

In this paper, we will contribute by proposing a novel, comprehensive, classification of background subtraction techniques, considering not only the mere visual sensor channel, which has been considered by the BG subtraction methods until six years ago.

The presented compensation technique is demonstrated to decrease improper false-positive classification of background pixels by an average of 83% compared to the uncompensated case and by 25%to43%3% compared to compensation techniques from the literature.

Classification of background (with two levels) as a fixed effect in the logistic model is simpler than including PCA eigenvectors or CMH clusters where there are many levels (in this case, either 20 or 52), and thus permits large numbers of permutations to be computed in a reasonable time-frame.

Classification of ethnic background into Dutch native/other Western and non-Western was according to the definition of Statistics Netherlands [ 39].

The review work discusses the general classification of SPVWPS, historical background of solar pumping systems, various efforts undertaken by researchers working on the different aspects of SPVWPS and the present status of research on the topic.

If both parents were born abroad, the country of birth of the mother decided the classification of the ethnic background of the child.

Then, the computation time of background classification and monocular depth cue estimation could be saved.

Therefore, by defining a state machine whose states are the hypothesis on the pixels and whose inputs are the values obtained from background subtraction, we can record information about the pixel history and thus hypothesize on the classification of a pixel given a background subtraction result depending on the state where it was before.

MSR Action dataset [22] is originally designed for detection and classification of moving object in the background.

In the same section, a taxonomical classification of shape representation approaches and background for shape distribution is given.

In fact, the classification of the foreground and the background in the initial segregation stage is mainly based on the objective quality assessment of speech (OQAS) algorithm.