Embedded algorithm for semi-supervised artificial intelligence human detection based on infrared array timing
A human body detection and artificial intelligence technology, applied in the field of human intelligent recognition, can solve problems such as inability to effectively identify human bodies, easy damage to user privacy, and limited detection range. Install the effect of simple implementation
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[0031] A semi-supervised artificial intelligence human detection embedded algorithm based on infrared array timing, including the following identification steps:
[0032] 1a. read the infrared array data Z(t)=[z ij (t)], where [z ij (t)] is the temperature value of the i-th row and j-column in the array at time t, and performs Kalman filtering;
[0033] 1b. After filtering, the optimal solution data matrix at time t is obtained as M t =[m ij ], where m ij is the temperature value of row i and column j;
[0034] 1c. Calculate M at time t t The variance σ of t and average as the eigenvalues of the temperature matrix;
[0035] 1d. Cyclic calculation of steps 1a and 1b in the above steps, and store in a time series of t length r
[0036]
[0037] and calculate the temperature matrix average
[0038] 1f. Calculate a time series R of length r t The variance of the two eigenvalues in
[0039]
[0040] In the formula: is the time series variance of the varian...
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