Sentence examples for modeled background block from inspiring English sources

(c) Illumination change: the modeled background block b ˜ i, j t in B t is similarly updated by Equation (2).

Note that if a block in R t is determined as a "moving object" block two times consecutively, the corresponding modeled background block b ˜ i, j t in B t is updated by Equation (4).

(a) Background: the modeled background block b ˜ i, j t in B t is updated by b ˜ i, j t = α · b ^ i, j t + 1 − α · b i, j t (2).

(b) Still object: the modeled background block b ˜ i, j t in B t is updated by { b ˜ i, j t = b i, j t, if Count i, j ≥ TH still, b ˜ i, j t = b ^ i, j t, otherwise, (3).

(d) Moving object: the modeled background block b ˜ i, j t in B t is updated by { b ˜ i, j t = b i, j t, if SM b i, j t < SM b ^ i, j t b ˜ i, j t = b ^ i, j t, otherwise, (4).

The side-match measure uses the camouflage of each "moving object" block to search the more suitable modeled background block so that we can speed up the background updating procedure.

For the Reddy approach, a bootstrapping video sequence with a large number of video frames is required to obtain the free ("true") modeled background frame, due to some blocks in each video frame might be erroneously estimated based on the corresponding candidate block set in the frequency domain.

Each block in the initial modeled background frame B ^ 2 is based on B1 and R ^ 2, in which some blocks in B ^ 2 are still "undefined" (labeled in black).

Then, its corresponding block b ˜ 11, 13 33 in B33 will be updated (replaced) by b (11,13) 33 in I33. Figure 5 An illustrated example of background updating for a "still object" block: (a) the original video frame; (b) the block representation frame; (c) the initial modeled background frame; (d) the modeled background frame.

Finally, as shown in Figure 2q, the initial modeled background frame B ^ 19 contains no "undefined" block.

The block representation frame R t is obtained based on the two consecutive video frames, I t and I t 1, and the initial modeled background frame B ^ t by the proposed block representation approach (as shown in Figure 4), in which motion estimation and correlation coefficient computation are used to perform block representation (classification).