FIELD: measuring equipment.
SUBSTANCE: invention relates to the field of automated measurements, in particular to a method and a device for remote determination of characteristics of live specimens, such as agricultural animals. The method contains obtainment of an image of a live specimen and segmentation of the image; measurement of a distance to several parts of the mentioned image, providing several distance indicators; determination of characteristics of a shape of the live specimen, characteristics of a depth of the live specimen in distance indicators contained in the segmented image; and comparison of a shape analysis map and a depth profile analysis map. If the result of the mentioned comparison is within a given range, parameters of the live specimen are additionally determined, including parameters of a pose and/or location, or adjustment of the mentioned anatomical control points and/or body size parameters, and/or a body map of the live specimen is provided.
EFFECT: provision of fast and automated measurements for obtainment of reliable and accurate parameters of orientation and/or pose of animals freely moving in the natural environment.
15 cl, 46 dwg
Title | Year | Author | Number |
---|---|---|---|
DEVICE AND METHOD FOR FORMATION OF ATTENUATION CORRECTION MAP | 2012 |
|
RU2589292C2 |
VISUALISATION FOR NAVIGATION INSTRUCTION | 2012 |
|
RU2594811C2 |
DEVICE FOR CREATION OF ASSIGNMENTS BETWEEN AREAS OF IMAGE AND CATEGORIES OF ELEMENTS | 2012 |
|
RU2589461C2 |
SYSTEMS AND METHODS OF SEGMENTING MEDICAL IMAGES BASED ON ANATOMICAL LANDMARK-BASED FEATURES | 2015 |
|
RU2699499C2 |
ESTIMATION OF DEPTH IN REAL TIME BY MONOCULAR ENDOSCOPE IMAGES | 2010 |
|
RU2529380C2 |
IMPROVED METHOD AND APPARATUS FOR DETERMINING POINT VALUE OF BODY CONDITION, LIVE WEIGHT AND FERTILITY INDEX | 2016 |
|
RU2714709C2 |
METHOD FOR CORRECTING THE DEPTH MEASUREMENT ERROR OF THE ToF CAMERA | 2021 |
|
RU2770153C1 |
SCHEDULING PATH FOR REDUCING TISSUE DAMAGE DURING MINIMALLY INVASIVE SURGERY | 2009 |
|
RU2596882C2 |
METHOD AND SYSTEM FOR DETECTING DRUG SMUGGLING IN HUMAN DIGESTIVE TRACT | 2015 |
|
RU2683125C1 |
METHOD FOR TRACKING OBJECTS AT THE RECOGNITION STAGE FOR UNMANNED VEHICLES | 2022 |
|
RU2798739C1 |
Authors
Dates
2022-12-05—Published
2019-02-14—Filed