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A method for extracting walking stride frequency of pigs based on end point analysis of depth image skeleton

A skeleton endpoint, depth image technology, applied in image analysis, image data processing, instrumentation, etc.

Inactive Publication Date: 2016-08-31
JIANGSU UNIV
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  • Abstract
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of relying on manual observation or intrusive detection devices in the existing method for extracting the stride frequency of live pigs, and provide a long-distance, non-invasive automatic extraction method for the stride frequency of pigs based on computer vision

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  • A method for extracting walking stride frequency of pigs based on end point analysis of depth image skeleton
  • A method for extracting walking stride frequency of pigs based on end point analysis of depth image skeleton
  • A method for extracting walking stride frequency of pigs based on end point analysis of depth image skeleton

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Embodiment Construction

[0022] The technical solutions of the present invention will be further described below in conjunction with the drawings and embodiments. The processing flow of the embodiment of the present invention is as follows figure 1 Shown. The depth camera Kinect is used as the image acquisition device to collect the pig motion image sequence from the side. Lateral collection refers to the angle between the movement direction of the pig and the horizontal plane of the optical axis of the depth camera at about 90°. In the pig house environment, the surrounding walls and facilities of the pig house are different from the target pigs in spatial distribution, which makes the pig prospects more obvious in the depth image. Through the background subtraction preprocessing method to filter out the environmental background such as side walls, beams and columns, a better foreground image sequence of the pig can be obtained, such as figure 2 Shown.

[0023] Further, process each frame image in t...

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Abstract

The invention discloses a live pig walking stride frequency extraction method based on depth image skeleton end analysis. The extraction method includes the steps of removing backgrounds in depth camera images, extracting skeletons, pruning the skeletons and matching skeleton drawings, the ends of the pectoral appendage skeleton and the pelvic appendage skeleton of a live pig in all frames of images are extracted, the far side attribute and the near side attribute of the ends of the two skeletons are judged, a sine curve is fitted through change point sets of coordinate relations of the far sides and the near sides of the fore limbs and the posterior limbs of the live pig in the image frames of a live pig motion sequence, and then the live pig walking stride frequency characteristics are extracted. The extraction method has the advantages of long distance, non-invasion and automatic extraction based on computer vision; the feature extraction process is simple and easy to implement; the extraction method not only is suitable for collecting the live pig walking stride frequency features, but also can be used for detecting walking stride frequency of a horse, a bull, a sheep and other animals walking with the four limbs.

Description

Technical field [0001] The invention relates to biological image processing technology, in particular to the extraction of pig movement step frequency characteristics in the monitoring of abnormal behavior of pigs applied to large-scale pig breeding. Background technique [0002] my country is a big country for pork consumption and pig breeding. In recent years, with the progress of my country's urbanization construction and environmental protection, the pig breeding model has evolved rapidly from scattered farming by farmers in the past to large-scale factory farming. However, outbreaks of epidemics often cause serious losses to breeding companies. Building a computer vision pig disease monitoring and early warning system can help breeding companies find early disease symptoms in pigs as soon as possible, and take timely isolation, disinfection, and treatment measures to avoid outbreaks. [0003] As a typical biological feature, gait characteristics have attracted attention in th...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/20
Inventor 朱伟兴刘波李新城
Owner JIANGSU UNIV
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