Multi-pig motion trail extraction and behavior analysis method in group environment

Abstract

The invention discloses a multi-pig motion trail extraction and behavior analysis method in a group environment, and the method comprises the following steps: improving a known single-target trackingalgorithm, and proposing an algorithm for simultaneously tracking multiple live pigs in the group environment; according to a tracking result, extracting a central point coordinate of each frame of each pig, and drawing a motion trail diagram and an instantaneous speed diagram of each pig; extracting a region of interest according to a target frame obtained by tracking the pig body, segmenting a target contour of each pig, and judging whether the current morphological characteristic of the pig body is standing or lying; judging the motion behaviors of each pig in each time period by combiningthe motion trail, the motion speed and the contour form of the pig body and combining the motion law of the pig body and expert suggestions, and the motion behaviors mainly comprising pig body standing, lying, slow walking, rapid running and abnormal restlessness. According to the invention, how to monitor behaviors of pigs in a group environment by using a precise and robust tracking algorithm isdisplayed, abnormal movement of the pigs can be detected in real time, and judgment of health conditions of pig bodies is assisted.

Description

technical field [0001] The invention relates to the field of computer vision, and more specifically, relates to a method for tracking multiple pigs and determining their behavior in a group environment. Background technique [0002] Monitoring the behavior of pigs is the key link to judge whether the pigs are in an abnormal state, and can assist in judging the health status of the pigs. At present, pigs are generally raised in a centralized breeding method. The breeding scale is large and the number is large, and the manual detection method is difficult to timely An abnormal state of the pig body was found. The present invention uses target tracking and video segmentation to monitor the multi-target pig body in a group environment in real time, and uses target tracking to obtain the movement track shape and motion state changes of the pig body; uses video segmentation to obtain the appearance profile of the pig body, and evaluates the posture of the pig body . Finally, the...

AI Technical Summary

Problems solved by technology

[0002] Monitoring the behavior of pigs is the key link to judge whether the pigs are in an abnormal state, and can assist in judging the health status of the pigs. At present, pigs are generally raised in a centralized breeding method. The breeding scale is large and the number is large, and the manual detection method is difficult to timely Abnormal state of the pig body was found

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