30results about How to "Simplify identification steps" patented technology

The invention provides a method, device and apparatus for segmenting a person in a video, and a computer storage medium.,The method comprises the following steps of: acquiring a face image of a targetperson; obtaining all the individual images corresponding to each target person from the first video according to the face images of the target person; combining the individual images of the same target person are sequentially combined to obtain a second video corresponding to each target person. The invention can obtain the single-person video containing only the target person from the video containing a plurality of persons, thereby realizing the purposes of reducing the labor cost, simplifying the identification step, and improving the identification accuracy and the identification speed.

The invention discloses a multi-scale convolutional neural network based radio signal modulation identification method. The multi-scale convolutional neural network based radio signal modulation identification method comprises the steps of (1) generating a processed radio modulation signal; (2) generating a two-dimensional time-frequency diagram and performing Fourier transform on an instantaneouscorrelation function of the signal to obtain a Wigner-Ville time-frequency distribution diagram of the signals; (3) performing pre-processing on the time-frequency distribution diagram to generate atraining sample set and a test sample set; (4) building a multi-scale convolutional neural network module and training the model; and (5) testing the test set by utilizing the trained network model, calculating the correction rate, obtaining an identification accuracy rate and assessing the network performance. The multi-scale convolutional neural network based radio signal modulation identification method has the advantages of strong universality, no need for manual characteristic extraction and a plenty of priori knowledge, low complexity and accurate and stable classification results, and can be used in the field of signal classification identification technologies.

The invention discloses a pair of primers, a kit and an application thereof for identifying the mating type of the protoplast monokaryon of Piacrotomus ciliformis. The invention discloses two primer pairs, PMD_1 and PMD_2, for identifying the mating type of the protoplast monokaryon of the Piacrotomus grisa. In the present invention, the genome DNA of the protoplast monokaryon of the Piacrotomus gracilis to be identified is used as a template, amplified with PMD_1 and PMD_2 primers, and the mating type is determined according to the size of the detected PCR product. The method of the present invention is simple and easy, shortens the identification time and simplifies the identification steps, has high accuracy, and is applicable to the research of edible and medicinal fungi, especially the genetic breeding of Piacrotomus pilaris, genomics and other related fields.

The invention discloses an object recognition method and device, and relates to the technical field of image recognition. A specific embodiment of the method comprises the following steps: determining the position of a localizer in a given image, wherein the localizer is used for locating an object to be identified in the given image; according to the position of the localizer, segmenting an area corresponding to the object to be identified from the given image to obtain a slice image; and inputting the slice image into a classifier to obtain an identification result of the to-be-identified object. According to the embodiment, the object can be accurately recognized under the condition that the content of the object is diversified, fuzzy matching is not needed, and recognition steps are simplified.

The embodiment of the present invention discloses a cable partial discharge signal identification method and device based on S-transformation, which is used to solve the problem that the waveform time difference method is usually used in the current location of the partial discharge signal source of the power cable, and the identification accuracy is low and the required identification time is too long. Long technical question. The method in the embodiment of the present invention includes: performing S-transformation on the acquired partial discharge signal from a known source to obtain a complex time-frequency matrix; performing modulus on the complex time-frequency matrix to obtain a modulus matrix, and performing singular value decomposition on the modulus matrix to obtain The singular value sequence of the modulus matrix; the singular value sequence is divided into at least two intervals, the ratio of the Shannon entropy of the singular value in each interval to the Shannon entropy of the singular value sequence is calculated, and the partial discharge signal eigenvector is established with the ratio Partial discharge signal feature sample library and build a support vector machine model; input the feature vector of the partial discharge signal to be identified into the support vector machine model to obtain the source of the partial discharge signal to be identified.

The invention discloses an identification method for an 8PSK (8 Phase Shift Keying) signal and a PI / 4-DQPSK (PI / 4-Differential Quadrature Phase Shift Keying) signal. The identification method comprises the following steps: extracting an instantaneous phase from a down-converted I / Q signal; calculating phase difference of adjacent code elements based on the instantaneous phase; calculating center normalized instantaneous phase difference based on the phase difference of the adjacent code elements; calculating a parameter based on the center normalized instantaneous phase difference; calculating absolute value standard derivation of a nonlinear component of the parameter; identifying the signal according to the absolute value standard derivation, wherein the signal is the PI / 4-DQPSK signal when the absolute value standard derivation is equal to 0 and is the 8PSK signal when the absolute value standard derivation is greater than zero. According to the technical scheme, the 8PSK signal and the PI / 4-DQPSK signal can be easily, conveniently and effectively identified.