Motion Analysis and Object Tracking

cv::accumulate

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void accumulate(const Mat& src, Mat& dst, const Mat& mask=Mat())

Adds image to the accumulator.

Parameters:

• src – The input image, 1- or 3-channel, 8-bit or 32-bit floating point
• dst – The accumulator image with the same number of channels as input image, 32-bit or 64-bit floating-point
• mask – Optional operation mask

The function adds src , or some of its elements, to dst :

The function supports multi-channel images; each channel is processed independently.

The functions accumulate* can be used, for example, to collect statistic of background of a scene, viewed by a still camera, for the further foreground-background segmentation.

See also: accumulateSquare() , accumulateProduct() , accumulateWeighted()

cv::accumulateSquare

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void accumulateSquare(const Mat& src, Mat& dst, const Mat& mask=Mat())

Adds the square of the source image to the accumulator.

Parameters:

• src – The input image, 1- or 3-channel, 8-bit or 32-bit floating point
• dst – The accumulator image with the same number of channels as input image, 32-bit or 64-bit floating-point
• mask – Optional operation mask

The function adds the input image src or its selected region, raised to power 2, to the accumulator dst :

The function supports multi-channel images; each channel is processed independently.

See also: accumulateSquare() , accumulateProduct() , accumulateWeighted()

cv::accumulateProduct

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void accumulateProduct(const Mat& src1, const Mat& src2, Mat& dst, const Mat& mask=Mat())

Adds the per-element product of two input images to the accumulator.

Parameters:

• src1 – The first input image, 1- or 3-channel, 8-bit or 32-bit floating point
• src2 – The second input image of the same type and the same size as src1
• dst – Accumulator with the same number of channels as input images, 32-bit or 64-bit floating-point
• mask – Optional operation mask

The function adds the product of 2 images or their selected regions to the accumulator dst :

The function supports multi-channel images; each channel is processed independently.

See also: accumulate() , accumulateSquare() , accumulateWeighted()

cv::accumulateWeighted

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void accumulateWeighted(const Mat& src, Mat& dst, double alpha, const Mat& mask=Mat())

Updates the running average.

Parameters:

• src – The input image, 1- or 3-channel, 8-bit or 32-bit floating point
• dst – The accumulator image with the same number of channels as input image, 32-bit or 64-bit floating-point
• alpha – Weight of the input image
• mask – Optional operation mask

The function calculates the weighted sum of the input image src and the accumulator dst so that dst becomes a running average of frame sequence:

that is, alpha regulates the update speed (how fast the accumulator “forgets” about earlier images). The function supports multi-channel images; each channel is processed independently.

See also: accumulate() , accumulateSquare() , accumulateProduct()