35results about How to "Does not involve complex calculations" patented technology

The invention relates to a driver fatigue detection method based on face video analysis, belonging to the field of vehicle active safety and mode recognition. The method comprises the steps of: carrying out face detection on a face image to be detected for primarily positioning local organs, such as eyes, nose and mouth; further obtaining face characteristic points positioned accurately; and finally, on the basis of an accurate positioning result of multiple frames of face characteristic points to be detected, carrying out quantization description on a face motion characteristic, and obtaining the result of fatigue detection on a driver to be detected according to a face motion statistical indicator. The driver fatigue detection method has high reliability, has no special requirements on hardware, does not involve complex operation, and has good instantaneity so as to be applied in real time in practice. The driver fatigue detection method has better robustness on the aspects of eyeglasses wearing, face angles, nonuniform illumination and the like, and can be suitable for various types of vehicles for reminding a driver of being in a fatigue state so that traffic accidents are avoided.

The invention provides a complete-polarization sea clutter simulation method. The complete-polarization sea clutter simulation method comprises the following steps: simulating a random sequence with K distribution by an SIRP (Spherical Invariable Random Process) method and utilizing the random sequence with K distribution as the sea clutter of an HH (Horizontal-Horizontal) polarization channel; then simulating the sea clutter of a VV (Vertical-Vertical) polarization channel by utilizing the amplitude constraint and phase constraint relation between the HH polarization channel and the VV polarization channel; and finally simulating the sea clutter of a cross polarization channel by utilizing the constraint relation between the HH polarization channel and the cross polarization channel, so as to obtain the complete polarization scattering matrix of each scattering unit, so that the simulation of the complete-polarization sea clutter is realized. Simulation results indicate that complete-polarization sea clutter data obtained through simulation by utilizing the method provided by the invention can reflect sea phenomena such as sea peak, the constraint relations among the polarizationchannels satisfy the physical characteristics of the sea clutter under low sea conditions, and the simulation results can be used for subsequent applications.

The invention discloses a video behavior recognition method and system based on a space enhancement module, and the method comprises the following steps: decoding a to-be-detected video into a frame sequence, and storing the decoded frame sequence in an image form; dividing a video into a plurality of video clips by adopting a sparse sampling strategy, extracting a frame from each video clip, and combining to form a stacked frame sequence; calculating a mean value of three channels of all training video frames in the behavior recognition data set, and subtracting the calculated mean value from the sampled frame image; using a residual neural network 3D-ResNet-18 as a backbone network, and enabling a spatial enhancement module to construct a behavior recognition classification network; setting training parameters, inputting the training set into a behavior recognition classification network for training, and storing trained network parameters; in the model deployment stage, fusing linear operators of the space enhancement module; and inputting a to-be-detected video into the behavior recognition classification network, and outputting a final classification result. According to the invention, the behavior recognition effect is improved, and both effectiveness and universality are achieved.

The method includes steps of pretreatment of iris image, feature description of iris zerocross point, compress and decompress of iris features, and feature matching. The pretreatment includes operations of iris positioning, normalization, image enhancement and noise removing. The pretreatment picks up iris area to be analyzed from original image effectively. Feature of iris zerocross point is analyzed by using multiresolution wavelet so as to build eigenvectors capable of decrypting iris image accurately. Feature compress reduces dimensions of eigenvectors of iris greatly. The compressed eigenvectors needs only small storage space to store. Simple Euclidean distance is adopted in the invention to measure similarity degree between two eigenvectors. Thus, calculated amount is small. The invention possessing fast recognition speed and high recognition accuracy is applicable to application system such as identification and safety guard.

The invention discloses a two-dimensional code image edge detection method and a device. the method comprises steps: binary processing is carried out on an image; feature points on the image are acquired; and the feature points are fit to calculate an edge line. Thus, when the two-dimensional code image edge line is looked up, the operation is simple, complex calculation is not needed, the precision is enhanced through a mathematical model, and the application range is wide.

The invention discloses a direct current side voltage control method of a three-phase four-leg active power filter. The method comprises the following steps: establishing a state space model of the three-phase four-leg active power filter under dq0 coordinates, using a d-axis control quantity to control direct current side voltage, using q-axis and 0-axis control quantities to control alternatingcurrent output current and selecting q-axis and 0-axis output current and the direct current side voltage as system output; defining an error vector, selecting the sliding mode surface and deriving ad-axis current command value; adding the d-axis current command value to output of a harmonic wave detection circuit and taking the sum as total d-axis reference current; and introducing an integral term into the sliding mode surface so as to improve the control precision. When voltage or load of a power grid is unbalanced, two filters are increased, one is a wave trap for filtering out second harmonic waves in voltage at a common connection point, the other one is a low-pass filter for filtering out the harmonic waves contained in a voltage measured value on the direct current side and then accurate compensation of the active power filter can be realized. By adopting the method, the problem of poor effects of conventional PI (proportional and integral) control is solved, and the method further has the advantages of fast response, strong robustness, capability of removing adverse effects of an outer ring on an inner ring and the like.

The invention discloses a segmentation method of a traffic signal lamp. A traffic signal lamp segmentation method based on a one-dimensional Gaussian model is provided to solve a problem of in accurate traffic signal lamp segmentation caused by unreasonable threshold segmentation during traffic signal lamp detection and identification in application of assisted driving and automatic driving and the like. According to the invention, distribution of collected colors of a traffic signal lamp conforms to characteristics of the one-dimensional Gaussian distribution; a segmentation threshold is calculated by using a set confidence; and post processing of a traffic signal lamp segmentation result is carried out by using priori information such as the installation position of the signal lamp and thus a final segmentation result is obtained. With the segmentation method disclosed by the invention, the influence on traffic signal lamp segmentation by the interference factor in a video image canbe suppressed effectively.

The invention relates to an iris identification method based on blanket dimension and lacunarity, belonging to the technical field of iris identification. The method comprises the following main steps of iris identification, iris image normalization, iris feature extraction and pattern matching. In the invention, the blanket dimension and lacunarity of iris texture are respectively calculated, and then two types of feature indexes are combined so as to obtain excellent identification effect; therefore, the method solves the problem that the existing iris identification method is incapable of efficiently utilizing iris fractal geometric feature and radiation physiological property.

The invention belongs to the technical field of radar imaging, and particularly relates to an imaging method for a curve synthetic aperture radar. According to the imaging method, a specific positionof an interpolation region is determined by calculating a geometric center point of a wave number support domain, thus an interpolation area covering a larger wave number support domain range is obtained, data information in the wave number support domain can be well utilized, and the imaging quality is improved. Moreover, the imaging method only relates to simple arithmetic operation, and does not relate to complex calculation operations such as sliding windows, so that the implementation mode of the method is very simple.

The present invention discloses a phase modulation code rate estimation method based on peak position, and relates to the code rate technology field. The method concretely comprises the following steps: solving the points where the received phase modulation signal peaks are located, and obtaining a signal peak point sequence; performing linear fitting of the signal peak sequence to obtain a fitting sequence; performing subtraction of the signal peak sequence and the fitting sequence, and obtaining a fitting difference sequence; according to the analysis of the fitting difference sequence, when the phase has abrupt changing, changing the difference sequence value of the corresponding fitting difference sequence, obtaining the distance between the adjacent points of abrupt changing, obtaining the distance minimum value to take as a code element period, and performing reciprocal of the code element period to obtain the code element rate.

The invention provides a spatial point target detection method based on focal plane modulation characteristics. The method comprises the steps that (1) a window scans an infrared image, and direction number indexes, approximating circles, of the image in the window are obtained; (2) according to the direction number, whether the image contained in the window is a background or a target is preliminarily judged; (3) if the image contained in the window is the target, the circle index in the target shape in the window is calculated; (4) a detection threshold is calculated through a circle index; (5) the circle index is compared with the detection threshold, and whether the image contained in the window is the background or the target is judged. According to the spatial point target detection method based on the focal plane modulation characteristics, the modulation characteristics of a focal plane to space weak and small target infrared imaging approximating circles are utilized, target detection and simulation indication are conducted through target shape judgment, noise and the influences of strong points and blind points in the sensor focal plane can be effectively removed, and the method has the good performance for detection of space weak and small targets.