A swimming pool drowning detection method based on spatio-temporal neighborhood features
A technology of neighborhood features and detection methods, applied in biometric identification, instruments, computing, etc., can solve the problems of reducing the amount of data processing and high monitoring accuracy
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[0028] In order to achieve the above purpose, the swimming pool drowning detection method based on spatio-temporal neighborhood features involved in this embodiment specifically includes the following process steps:
[0029] 1. Using the features of spatio-temporal fragments for background modeling:
[0030] First, the video image sequence of the swimming pool is collected in real time by a camera installed above the water surface, and is transmitted to a computer connected to the camera. order measurement standard; set the intensity set of N pixels contained in the neighborhood of pixel point p at time t as S(p,t)={x 1 ,x 2 ,....,x N}, first cluster these observations from the pixels in the model area and in the process of background learning, and then obtain a compact model by comparing the similarity of the two observations; by dividing the neighborhood segment of the pixel point P Defined as an ordered pixel subset intensity in the neighborhood, such as I({1,4,12}; P) ref...
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