Abstract: Disclosed are a lip-reading recognition method and apparatus based on a projection extreme learning machine. The method includes: obtaining a training sample and a test sample that are corresponding to the projection extreme learning machine PELM, where the training sample and the test sample each include n videos, n is a positive integer greater than 1, the training sample includes a category identifier corresponding to each video in the training sample; training the PELM according to the training sample, and determining a weight matrix W of an input layer in the PELM and a weight matrix ? of an output layer in the PELM, to obtain a trained PELM; and identifying a category identifier of the test sample according to the test sample and the trained PELM. The lip-reading recognition method and apparatus based on the projection extreme learning machine can improve lip-reading recognition accuracy.

Abstract: A method for motion detection includes: obtaining a pixel value of an image to be detected in a video image sequence, a pixel average value of same positions in a preset number of frame images before the image to be detected, and scene luminance values of the preset number of frame images before the image to be detected; obtaining a pixel scene luminance value and an average scene luminance value by calculation according to the pixel value and the scene luminance values; obtaining P1 according to the pixel value and the pixel average value, and obtaining P2 according to the pixel scene luminance value and the average scene luminance value; and obtaining P3 by integrating the P1 and P2, and detecting, according to the P3, whether the image to be detected includes a motion image region.

Abstract: An image processing method and device are provided. The method includes determining at least one block covered by a mask and in a current frame image, the at least one block is obtained by dividing the current frame image; determining a pixel mean value of each block, and determining, according to the pixel mean value, a grayscale mapping curve function corresponding to each block; determining a ratio of an area of a part covered by the mask and in each block of the at least one block to an area of the mask; and determining an adjusted pixel value of the first pixel according to the ratio of the area of the part covered by the mask and in each block to the area of the mask, the grayscale mapping curve function corresponding to each block, and an original pixel value of the first pixel.

Abstract: The present invention discloses a method and an apparatus for implementing motion detection. The method includes: obtaining a pixel value of an image to be detected in a video image sequence, a pixel average value of same positions in a preset number of frame images before the image to be detected, and scene luminance values of the preset number of frame images before the image to be detected; obtaining a pixel scene luminance value and an average scene luminance value by calculation according to the pixel value and the scene luminance values; obtaining P1 according to the pixel value and the pixel average value, and obtaining P2 according to the pixel scene luminance value and the average scene luminance value; and obtaining P3 by integrating the P1 and P2, and detecting, according to the P3, whether the image to be detected includes a motion image region.