Woodpecker articulation point positioning method based on motion image sequence

Abstract

The invention provides a woodpecker articulation point positioning method based on a motion image sequence, and the method comprises the following steps: firstly setting a marking point at an approximate position of a woodpecker articulation point, and collecting a video image sequence of the pecking behavior of a woodpecker; carrying out the preprocessing of each effective image frame, and obtaining the coordinates of each marked articulation point; carrying out the optimization of the positions of the articulation points through an optimization algorithm, and setting supposed articulation points corresponding to the numbers of marked articulation points, wherein the distance between each two adjacent supposed articulation points is equal to the mean value of the distances between two adjacent marked articulation points; building a distance summation function for the supposed articulation point and the marked articulation point with the same number in the same frame, enabling the distance summation function to serve as an optimization target function, and carrying out the optimal solving. obtaining the motion data according to the coordinates of the optimal articulation points in all effective frames. The method can locate the articulation points of the woodpecker more precisely in the motion image sequence of the pecking motion of the woodpecker, is simple in calculation, is higher in precision, and is easy for popularization.

Description

technical field [0001] The invention relates to the field of woodpecker joint point positioning, in particular to a woodpecker joint point positioning method based on moving image sequences. Background technique [0002] The woodpecker is a common bird that pecks open the bark and digs out tree holes for predation or nesting by its sharp and hard beak. Studies have shown that although woodpeckers are small in size, their maximum pecking acceleration can reach more than 2000g, and they can quickly transmit the very large impact force generated by pecking, and perform continuous and precise pecking. Therefore, the research on the woodpecker's woodpecker behavior has important theoretical research and engineering application value for medicine, electronics, materials science, mechanics and mechanics. [0003] Early research on woodpeckers mainly focused on the impact mechanism of the head of woodpeckers, but gradually found in the research that the impact resistance mechanism ...

AI Technical Summary

Problems solved by technology

The artificial marking method refers to artificially marking the joint points of animals or human bodies, which is easy to identify in image processing, but this method requires the joint point marking to be as accurate as possible, otherwise the results will be inaccurate; the unmarking method refers to the use of image The processing method is used to identify joint points. This method needs to accurately extract the outline of the moving object. Compared with the manual marking method, the image processing process is very complicated and has certain limitations on the research object.

[0005] Woodpeckers are small in size, have complex feather patterns, small movement strokes, and small body and tail movements in woodpecker movements. It is difficult to accurately identify the joint points of woodpeckers in the image sequence of woodpeckers using the unmarked point method, and the error is large

Therefore, the artificial marking method is adopted, but because the woodpecker is small in size and simple in structure, its joint points are basically covered by feathers and muscles, and it is difficult to find the joint points, and the movement of the feathers and muscles during the movement of the woodpecker is relatively large, which affects the marking of joints correctness of point

Therefore, the existing joint point positioning methods cannot meet the requirements for the research on woodpecker pecking motion.

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