Boundary chain code-based old person fall-down detection algorithm
A detection method and technology for the elderly, applied in the field of computer vision, can solve problems such as complex algorithms and poor real-time performance, and achieve the effect of reducing complexity, strong adaptability, and accurate fall detection results.
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[0012] A technical scheme of an elderly fall detection algorithm based on boundary chain codes disclosed in the present invention:
[0013] 1. Target extraction: The gray value of each pixel in the video sequence is a discrete random distribution. According to when a random variable obeys the Beta distribution, the three-time estimation method can be used to estimate the mean and standard deviation of the variable. Use the first three frames of the current frame to estimate the background and standard deviation, according to the aforementioned three-time estimation, where:
[0014] a=max(f k-1 , f k-2 , f k-3 ) (1)
[0015] b=median(f k-1 , f k-2 , f k-3 ) (2)
[0016] c=min(f k-1 , f k-2 , f k-3 ) (3)
[0017] The mean and standard deviation are defined by:
[0018]
[0019]
[0020] in is f k Background estimation for framed images.
[0021] current frame f k (x, y) and its background image The difference image D obtained by difference k (x, y), exp...
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