Convolutional neutral network identification efficiency increasing method and related convolutional neutral network identification efficiency increasing device

A convolutional neutral network identification efficiency increasing device, comprising:

• an image generator adapted to acquire an input image;
• and
• an operational processor electrically connected to the image generator, and adapted to analyze an input image for acquiring foreground information, compute a histogram of the foreground information, divide the histogram into at least one first group and at least one second group via its pixel value ranges, compare a pixel amount of the second group with a predetermined parameter, and generate a foreground mask according to a comparison result, and transform the input image into an output image via the foreground mask, wherein the output image is used to be an input of convolutional neutral network identification for increasing object identification efficiency;
• wherein a pixel value range of the first group is smaller than a pixel value range of the second group;
• wherein the operational processor is further adapted to set a foreground threshold when the pixel amount of the second group is greater than the predetermined parameter, define pixels of the foreground information having pixel values greater than the foreground threshold as a first set of pixels, define pixels of the foreground information having pixel values smaller than the foreground threshold as a second set of pixels, and set pixels of the foreground mask which corresponds to the first set of pixels having pixel values as a first numeral and set pixels of the foreground mask which corresponds to the second set of pixels having pixel values as a second numeral;
• wherein the operational processor is further adapted to determine whether the first group conforms to a specific condition when the pixel amount of the second group is smaller than the predetermined parameter, and set pixels values of all pixels inside the foreground mask as a first numeral when the first group conforms to the specific condition.

A convolutional neutral network identification efficiency increasing method, comprising:

• analyzing an input image to acquire foreground information;
• computing a histogram of the foreground information;
• dividing the histogram into at least one first group and at least one second group via its pixel value ranges, wherein a pixel value range of the first group is smaller than a pixel value range of the second group;
• comparing a pixel amount of the second group with a predetermined parameter;
• and
• generating a foreground mask according to a comparison result;
• and
• computing products of all pixel values inside the input image and corresponding pixel values inside the foreground mask respectively to generate an output image, wherein the output image is used to be an input of convolutional neutral network identification for increasing object identification efficiency.