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Drosophila larva body segment key point positioning method based on cascade posture regression

A positioning method, key point technology, applied in the field of behavior

Active Publication Date: 2018-09-25
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

We found that the regression-based key point positioning method can be used in the key point positioning of Drosophila larvae, but there are still some difficulties to be solved for Drosophila larvae. There is no report on the automatic extraction of key points of Drosophila larvae.

Method used

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  • Drosophila larva body segment key point positioning method based on cascade posture regression
  • Drosophila larva body segment key point positioning method based on cascade posture regression
  • Drosophila larva body segment key point positioning method based on cascade posture regression

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Experimental program
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Embodiment 1

[0034] Such as figure 1As shown, it is an experimental platform for recording video of the method of automatic positioning of key points of fruit fly larvae based on cascading posture regression. The camera 1 is fixed on an armored platform, and the camera 1 is directly connected to the computer. The camera model is ASI178MM. It is a SONY IMX178 sensor. The LED bottom plate light source 2 is placed on the table, the petri dish 3 is placed on the top of the LED board 2, and the fruit fly larvae 4 are crawling on the petri dish. The camera 1 is vertically placed on the desktop and directly above the LED board 2, connected with a USB data cable The computer can record and stop recording video at any time. What we record is a spatial resolution of 1280×960 and a temporal resolution of 30fp / s.

[0035] Such as figure 2 Shown is the established body segment model and the order of key points. The body segment is divided into three thoracic body segments (T1, T2, T3) and eight abdom...

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Abstract

The invention discloses a Drosophila larva body segment key point positioning method based on cascade posture regression. The behavior data of the movement of a Drosophila larva with clear body segments on a two-dimensional plane are recorded. A body segment key point data set is constructed to train a body segment key point positioning model. According to the characteristics of the Drosophila larva, a body segment key point regression process is designed to automatically acquire the body segment information of the body of the Drosophila larva. According to the invention, the method is combined with a computer vision algorithm to automatically process the data of the Drosophila larva, so as to acquire the representation of the body segment precision of the body of the Drosophila larva; a large number of interference factors on the movement of the Drosophila larva are avoided; a lot of manpower and material resources can be saved; the method can be used for automated behavior analysis of the Drosophila larva, complex movement decomposing and the like; a large amount of data can be processed without manual intervention; and a basis is provided for automatic behavior analysis of bodysegment precision.

Description

technical field [0001] The invention belongs to the field of ethology, and relates to a method for automatically extracting body segments of fruit fly larvae, in particular to a method for locating key points of body segments of fruit fly larvae based on cascade posture regression. Background technique [0002] Computational ethology is mainly a subject that uses computer technology to study animal behavior. It uses computer vision, machine learning and other methods to study animal behavior. The most common is to record and automatically analyze the video of animal movement, which is of great significance for us to quantify movement behavior and process large amounts of data. The use of computer technology can not only assist us to complete some tasks that previously required humans to complete, but also unsupervisedly discover some new knowledge, which is an indispensable tool for the current study of animal behavior and neuroscience. [0003] Drosophila larvae are easy-t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/103G06V20/46
Inventor 郑能干欧阳震寰黄泽楠龚哲峰宫彩霞
Owner ZHEJIANG UNIV
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