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.