Chicken flock activity amount real-time estimation method and chicken flock activity amount real-time estimation system based on multi-target tracking

A multi-target tracking and activity volume technology, applied in computing, computer parts, image analysis, etc., can solve the problems of strong subjectivity, low work efficiency, low accuracy, etc., to reduce labor costs, high accuracy, and low The effect of complexity

Active Publication Date: 2020-09-18
HOHAI UNIV CHANGZHOU
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a real-time estimation method of chicken flock activity based on multi-target tracking, to solve the problems of manual observation and research of chicken flock behavior in the prior art, which are highly subjective, low in accuracy, and low in work efficiency

Method used

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  • Chicken flock activity amount real-time estimation method and chicken flock activity amount real-time estimation system based on multi-target tracking
  • Chicken flock activity amount real-time estimation method and chicken flock activity amount real-time estimation system based on multi-target tracking
  • Chicken flock activity amount real-time estimation method and chicken flock activity amount real-time estimation system based on multi-target tracking

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Experimental program
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Embodiment 1

[0029] Such as Figure 1 to Figure 5 As shown, a method for real-time estimation of chicken activity based on multi-target tracking includes: placing a square calibration block with a known side length in the chicken activity site to be detected, and obtaining the calibration block after the camera takes an image of the site The pixel length of the side length; according to the obtained pixel length of the calibration block side length, calculate the proportional factor between the pixel length of the calibration block side length in the image frame and the actual length; perform target detection on the chicken target in the Nth frame image , to obtain the chicken detection frame; create a tracker for each detected chicken target, and store the detection frame position of the tracked chicken target in the tracker; according to the chicken detection frame position stored in the tracker, use kalman Predict the trajectory of the filter to obtain the position of the prediction fra...

Embodiment 2

[0056] Based on the method for estimating the amount of chicken activity in real time based on multi-target tracking described in Embodiment 1, this embodiment provides a system for estimating the amount of chicken activity in real time based on multi-target tracking, such as Figure 6 shown, including:

[0057] An image acquisition module, used for real-time acquisition of images of the flock's activity site;

[0058] The first calculation module is used to obtain the scaling factor between the pixel length of the side length of the calibration block in the image frame and the actual length;

[0059] The image detection module is used to perform target detection on the collected images to obtain the chicken detection frame;

[0060] The data processing module creates a tracker for each detected chicken target, and stores the detection frame position of the tracked chicken target in the tracker, which is used to predict the trajectory of the chicken detection frame obtained b...

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Abstract

The invention discloses a chicken flock activity amount real-time estimation method and system based on multi-target tracking, and belongs to the technical field of image processing and computer vision. The method comprises the following steps: calculating a scale factor between a pixel length and an actual length in an image frame; obtaining a chicken detection frame; creating a tracker for eachdetected chicken target; obtaining a prediction box position corresponding to the chicken target through trajectory prediction; performing target detection on the next frame of image, and matching theobtained chicken detection box with the prediction box of the previous frame; screening a 'detection frame-prediction frame 'pair; re-matching the detection boxes which fail to match; and calculatingthe distance compensation coefficient of the chicken detection frame in the tracker and the pixel length of the chicken detection frame moving relative to the previous frame, and further calculatingthe activity amount of the chicken flocks. According to the technical scheme, manpower can be saved, the estimation time is shortened, the problem of high subjectivity of manual estimation is solved,and the accuracy is higher.

Description

technical field [0001] The invention belongs to the technical field of image processing and computer vision, and in particular relates to a method and system for real-time estimation of chicken activity based on multi-target tracking. Background technique [0002] With the development of my country's market economy and the improvement of national living standards, chicken has gradually become an important meat species in the diet supply of the people, and the demand is constantly rising. In order to meet the material needs of the people, my country has continuously expanded the scale of broiler chicken breeding in recent years, and the broiler chicken breeding industry has also begun to develop in the direction of standardization, science, efficiency and scale. Semi-grazing farming is an important method of broiler chicken breeding. The broilers raised in this method are not only delicious and tender, but also can kill weeds and insects, improve soil fertility, and reduce fe...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/20G06K9/62G06T7/20G06T7/70
CPCG06T7/70G06T7/20G06V20/46G06V10/22G06V2201/07G06F18/22
Inventor 周小芹贺迟来刘小峰
Owner HOHAI UNIV CHANGZHOU
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