A human body positioning method, device, equipment and system
A positioning method, human body technology, applied in computing, character and pattern recognition, computer components, etc., can solve problems such as low sensitivity, high computational complexity, short detection distance, etc., achieve high-precision human body positioning, realize human body positioning, The effect of reducing production costs
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Embodiment 1
[0051] Please refer tofigure 1 , figure 1 It is a flowchart of a human body positioning method in an embodiment of the present invention, and the method includes the following steps:
[0052] S101. Using a target sensor to acquire a temperature image in a sensing area.
[0053] Wherein, the temperature image includes temperature values of each pixel in the sensing area.
[0054] Specifically, the target sensor may be a thermopile sensor, and each pixel unit in the thermopile sensor can measure the average temperature of the object in its sensing area. In order to improve sampling resolution and reduce hardware cost, low-resolution area array thermopile sensors or low-cost linear array thermopile sensors can be used. For example, taking the linear array thermopile sensor of 16×1 unit as an example to illustrate the solution of the present invention, the sensing angle of view of the linear array thermopile sensor is 60°×3.75°, that is, the sensing angle of view of each linea...
Embodiment 2
[0069] Please refer to figure 2 , figure 2 It is a flowchart of another human body positioning method in an embodiment of the present invention, and the method includes the following steps:
[0070] S201. Acquire a temperature image in a sensing area by using the target sensor by rotating a stepping motor connected to the target sensor.
[0071] Wherein, the temperature image includes temperature values of each pixel in the sensing area.
[0072] Specifically, in practical applications, the temperature image can be obtained through the following steps:
[0073] Step 1. When the stepper motor rotates at a preset angle, collect the temperature data lattice sensed by the target sensor once;
[0074] Step 2: When the number of temperature acquisitions of the target sensor reaches a preset threshold, convert the acquired temperature data dot matrix into a temperature image.
[0075] For ease of description, the above two steps are combined for description.
[0076] Taking ...
Embodiment 3
[0099] It can be seen from Table 1 above that when n is small (such as n<=3), the measured distance range is too large, and an interpolation method can be used to further improve the distance measurement accuracy. Specifically, when determining the specific value of the target distance, the following steps are performed:
[0100] When the number of target pixel points is less than the preset threshold, the value of the target distance is determined within the value range by using the ratio between the human target and the ambient temperature.
[0101] The specific process is as follows:
[0102] (1) According to the separated foreground image and background image, count the average temperature of foreground and background respectively. Let the average temperature of the background be T0, and the average temperature of the foreground be T1;
[0103] (2) Record the shortest distance corresponding to n in Table 1 as D1, and record the maximum distance as D2;
[0104] (3) The a...
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