Video stream image-based block signal conversion and target detection method and block signal conversion and target detection device

Abstract

The invention discloses a video stream image-based block signal conversion and target detection method and a block signal conversion and target detection device. according to the method, a video imageis subjected to grid segmentation, and the signal fluctuation value of each region at a video monitoring moment is represented by means of the variance values of all pixel values in the above segmented block region of segmented two-dimensional sub-images. In this way, the data dimensionality reduction treatment of a two-dimensional image to a one-dimensional signal is completed. An integral videoimage is converted into a plurality of one-dimensional signal waveforms to be detected. For segmented sub-images in each region of the image, corresponding one-dimensional signal data is obtained. Asa result, through the display method of real-time waveforms, the noise reduction treatment is carried out by means of the smoothing and filtering method during the digital signal processing process.The weak change of the background in sub-regions is excluded. When a foreground object or an abnormal condition occurs, the one-dimensional signal shows a strong fluctuation change. As a result, the abnormal fluctuation existing in the video stream can be obviously judged. In this way, whether the foreground target appears in the video detection area or not can be judged.

Description

technical field [0001] The invention relates to the technical field of video image processing, in particular to a block signal conversion and target detection method and device based on video stream images. Background technique [0002] With the rapid development of computer vision technology in the information age, the application of video image acquisition and processing has shown explosive growth in the fields of human production and life, from aerospace satellite remote sensing images to ground unmanned driving in general video surveillance. The target detection method is based on the background image, and the global image is used for differential calculation, and a variety of filtering methods are used to filter out the background noise, so as to realize the judgment of the target of interest. Or use the two-dimensional optical flow field calculation method of the video image to detect through the velocity characteristics of the moving object. Or use methods based on i...

AI Technical Summary

Problems solved by technology

The above method mainly uses the traditional image processing method of video processing to perform multiple steps of image processing on each frame image in the video stream. The amount of data is large, the amount of calculation is large, and the effectiveness of real-time video processing is not good.

This type of technology needs to establish a dynamic background model, update the dynamic background according to the change of illumination, and then detect the foreground target through image difference or other feature extraction methods. Therefore, this technology is sensitive to external environmental changes and is prone to produce more Noise interference affects detection accuracy

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