Motion track detection method and device and storage medium thereof

Abstract

The invention discloses a motion track detection method and device and a storage medium thereof. The motion trail detection method comprises the following steps: acquiring a first reference voltage value of a first pressure sensor, a second reference voltage value of a second pressure sensor and a third reference voltage value of a third pressure sensor; acquiring a first voltage value, a second voltage value and a third voltage value corresponding to the moment; calculating a first voltage difference of the first pressure sensor, a second voltage difference of the second pressure sensor and a third voltage difference of the third pressure sensor; calculating a first acting force, a second acting force and a third acting force of a to-be-measured object corresponding to the first pressure sensor, the second pressure sensor and the third pressure sensor according to the first voltage difference, the second voltage difference and the third voltage difference; calculating coordinates according to the first acting force, the second acting force and the third acting force; and obtaining a motion track of the to-be-measured object through the coordinates. The invention provides a more effective detection method.

Description

technical field [0001] The invention belongs to the technical field of motion tracks, and in particular relates to a motion track detection method, device and storage medium thereof. Background technique [0002] In animal behavior experiments, it is often necessary to obtain movement information of small animals. At present, most laboratories use near-infrared cameras as a solution to the monitoring of animal behavior. However, in most cases, if there is only video information, researchers can only make subjective judgments on the occurrence or non-occurrence of a certain behavior based on the video and experience. It will bring errors to the experiment and reduce work efficiency. Extracting the motion trajectory from the video requires complex digital image processing on the video file frame by frame, the recognition rate of experimental animals is usually not high, and unnecessary time is wasted in observing animal behavior, and another camera is installed More trouble...

AI Technical Summary

Problems solved by technology

However, in most cases, if there is only video information, researchers can only make subjective judgments on the occurrence or non-occurrence of a certain behavior based on the video and experience. It will bring errors to the experiment and reduce work efficiency

Extracting the motion trajectory from the video requires complex digital image processing on the video file frame by frame, the recognition rate of experimental animals is usually not high, and unnecessary time is wasted in observing animal behavior, and another camera is installed More troublesome, cumbersome process

At the same time, because most of the behavioral experimental animals commonly used in laboratories are mice, the natural living environment of mice is low-light, and ordinary cameras cannot be used in dark places, and near-infrared cameras also have problems such as blurring in shooting, which limits Strict behavioral experiments are required to simulate the needs of the natural living environment of animals to the greatest extent, which increases the irrelevant variables of the experiment and reduces the credibility of the experimental results

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