WO2020018029A1 - Video tracking maze recognition strip - Google Patents
Video tracking maze recognition strip Download PDFInfo
- Publication number
- WO2020018029A1 WO2020018029A1 PCT/TR2018/050381 TR2018050381W WO2020018029A1 WO 2020018029 A1 WO2020018029 A1 WO 2020018029A1 TR 2018050381 W TR2018050381 W TR 2018050381W WO 2020018029 A1 WO2020018029 A1 WO 2020018029A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- maze
- video tracking
- recognition
- tracking
- strip
- Prior art date
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Classifications
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K1/00—Housing animals; Equipment therefor
- A01K1/02—Pigsties; Dog-kennels; Rabbit-hutches or the like
- A01K1/03—Housing for domestic or laboratory animals
- A01K1/031—Cages for laboratory animals; Cages for measuring metabolism of animals
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K29/00—Other apparatus for animal husbandry
- A01K29/005—Monitoring or measuring activity, e.g. detecting heat or mating
Definitions
- the invention relates to a video tracking maze recognition strip used to improve performance and enhance data accuracy of software digitalizing images of experimental animals and humans by video tracking method.
- the invention particularly relates to video tracking maze recognition strip setting out tracking borders, automatically conducting calibration by software even when tracking area place changes and thus providing elimination of faulty data receiving in addition to time and workforce saving and consisting of at least a strip.
- Video tracking software used in the related art require the user to set out the borders of the area to be observed, where object to be observed is located.
- the borders can further be calibrated according to a known measure. When the area or camera changes place consciously or accidentally, then such actions must be re-performed by the user. Furthermore, if the user does not notice such change, the recorded data would be incorrect.
- the invention solves all of the above mentioned problems at the same time.
- the invention relates to a video tracking maze recognition strip used to improve performance and enhance data accuracy of software digitalizing images of experimental animals and humans by video tracking method.
- the most important purpose of the invention is to set the borders upon recognizing areas of box, maze, room etc. to be tracked by software automatically and to provide conduct of calibration of box automatically even when maze place changes. Thus in addition to time and workforce saving, taking incorrect data is also prevented.
- FIGURE 1 is a drawing illustrating video tracking maze recognition strip of the invention.
- FIGURE 2 is a drawing illustrating video tracking maze recognition strip of the invention.
- FIGURE 3 is a drawing illustrating video tracking maze recognition strip of the invention.
- the invention relates to a video tracking maze recognition strip used to improve performance and enhance data accuracy of software digitalizing images of experimental animals and humans by video tracking method.
- Figure 1 shows video tracking maze recognition strip of the invention. Movements of experimental animal (40) in the tracking area (20) are tracked by the camera (50) and analyzed by software.
- the track area (20) borders are determined by strips (10).
- the strips (10) are defined by square code/barcode (30) software and automatic recognition and calibration operations are performed. Software perform such recognition operation all the times before measurement and if desired during experiment. If deviation is above the specified limit, the software matches the defined area shape with real area and makes required adjustments and performs shifting automatically. Such operations are given to the user in summary at the end of experiment if required. Therefore, even if the place of track area (20) is changed, software performs calibration automatically.
- the strips (10) are to reflect various lights in particularly, green, blue, yellow etc or outside visible lights spectrum such as infrared (IR) and ultraviolet (UV).
- the strips can be made from materials such as Plexiglas, plastic, metal etc. as well as by means of painting.
- barcode/square code (30) signs are displayed in a section in display area of the camera (50) in test embodiment. This code contains information such as type, model, colour and sizes of experiment setting.
- FIG. 2 shows experimental animal (40) in an elevated plus maze tracking area (20). Here the anxiety of the experimental animals (40) is studied.
- Figure 3 shows experimental animal (40) in a forced-swim tracking area (20).
- water filled swim areas used for assessment of behaviours such us anxiety, depression, and despair of experimental animals (40).
- the borders of the points that can be important except for edges of experiment area (20) (for this test, water level) are drawn by strips (10) and recognition thereof by the software is provided.
- video tracking method is used not only for observing experimental animals (40) but also humans and evaluation of behaviour types of them.
- This invention can also be used for such studies.
- the strips (10) are placed in certain areas where observation is conducted, and are defined for the system and calibration should be made.
Abstract
The invention relates to a video tracking maze recognition strip used to improve performance and enhance data accuracy of software digitalising images of experimental animals and humans by video tracking method. The invention particularly relates to video tracking maze recognition strip setting out tracking area (20) borders, automatically conducting calibration by software even when tracking area (20) place changes and thus providing elimination of incorrect data receiving in addition to time and workforce saving and consisting of at least a strip (10).
Description
VIDEO TRACKING MAZE RECOGNITION STRIP
THE RELATED ART
The invention relates to a video tracking maze recognition strip used to improve performance and enhance data accuracy of software digitalizing images of experimental animals and humans by video tracking method.
The invention particularly relates to video tracking maze recognition strip setting out tracking borders, automatically conducting calibration by software even when tracking area place changes and thus providing elimination of faulty data receiving in addition to time and workforce saving and consisting of at least a strip.
PRIOR ART
Today many species of animals ranging from basic spinal animals to mammals are employed as experimental animals. However, use of invertebrates is of considerably limited level. Although increases are seen in use of some primitive vertebrates in recent years, mostly preferred species are some mammals. To classify top groups of use, it is seen that the species which is used the mostly is rats, mice, rabbit and fish and those of mid-level use are pigs, guinea pigs, hamsters and monkeys. Experimental animals are mainly used in medicine trials to observe and analyse their behaviour.
Video tracking software used in the related art (EthoVision, AnyMaze etc.) require the user to set out the borders of the area to be observed, where object to be observed is located. The borders can further be calibrated according to a known measure. When the area or camera changes place consciously or accidentally, then such actions must be re-performed by the user. Furthermore, if the user does not notice such change, the recorded data would be incorrect.
As a result, the need for a video tracking maze recognition strip with economical use to solve the above mentioned problems and inadequacy of existing solutions have necessitated development in the related art.
PURPOSE OF THE INVENTION
The invention solves all of the above mentioned problems at the same time. In the broadest way, the invention relates to a video tracking maze recognition strip used to improve performance and enhance data accuracy of software digitalizing images of experimental animals and humans by video tracking method.
The most important purpose of the invention is to set the borders upon recognizing areas of box, maze, room etc. to be tracked by software automatically and to provide conduct of calibration of box automatically even when maze place changes. Thus in addition to time and workforce saving, taking incorrect data is also prevented.
The structural and characteristic features and all advantages of the invention will be understood better with the figures given below and the detailed description by reference to the figures. Therefore, the assessment should be made based on the figures and the detailed descriptions.
BRIEF DESCRIPTION OF FIGURES
FIGURE 1 is a drawing illustrating video tracking maze recognition strip of the invention. FIGURE 2 is a drawing illustrating video tracking maze recognition strip of the invention. FIGURE 3 is a drawing illustrating video tracking maze recognition strip of the invention.
REFERENCE NUMBERS
10. Strip
20. Track area
30. Barcode/square code
40. Experimental Animal
50. Camera
DETAILED DESCRIPTION OF THE INVENTION
The invention relates to a video tracking maze recognition strip used to improve performance and enhance data accuracy of software digitalizing images of experimental animals and humans by video tracking method.
Figure 1 shows video tracking maze recognition strip of the invention. Movements of experimental animal (40) in the tracking area (20) are tracked by the camera (50) and analyzed by software. The track area (20) borders are determined by strips (10). In the step where experimental design and settings are conducted in the video tracking systems, the strips (10) are defined by square code/barcode (30) software and automatic recognition and calibration operations are performed. Software perform such recognition operation all the times before measurement and if desired during experiment. If deviation is above the specified limit, the software matches the defined area shape with real area and makes required adjustments and performs shifting automatically. Such operations are given to the user in summary at the end of experiment if required. Therefore, even if the place of track area (20) is changed, software performs calibration automatically. Thus in addition to time and workforce saving, taking incorrect data is also prevented. Here the strips (10) are to reflect various lights in particularly, green, blue, yellow etc or outside visible lights spectrum such as infrared (IR) and ultraviolet (UV). The strips can be made from materials such as Plexiglas, plastic, metal etc. as well as by means of painting. In addition, barcode/square code (30) signs are displayed in a section in display area of the camera (50) in test embodiment. This code contains information such as type, model, colour and sizes of experiment setting.
Figure 2 shows experimental animal (40) in an elevated plus maze tracking area (20). Here the anxiety of the experimental animals (40) is studied.
Figure 3 shows experimental animal (40) in a forced-swim tracking area (20). Here water filled swim areas used for assessment of behaviours such us anxiety, depression, and despair of experimental animals (40). The borders of the points that can be important except for edges of experiment area (20) (for this test, water level) are drawn by strips (10) and recognition thereof by the software is provided.
Alternatively, video tracking method is used not only for observing experimental animals (40) but also humans and evaluation of behaviour types of them. This invention can also be used for such studies. In such case, the strips (10) are placed in certain areas where observation is conducted, and are defined for the system and calibration should be made. The protection scope of this application has been specified under claims and can not be limited to the descriptions only given for illustrative purposes above. It is clear that a person skilled in the related art can provide the novelty disclosed under the invention by use of the similar embodiments and/or can also apply this embodiment in other areas for similar purposes used in the related art. Therefore, it is obvious that such embodiments will be lack of novelty and particularly, surpassing the state of art criteria.
Claims
1- The invention relates to a video tracking maze recognition strip used to improve performance and enhance data accuracy of software digitalising images of experimental animals and humans by video tracking method and it is characterized in that; it consists of at least a strip (10) setting out tracking borders (20), automatically conducting calibration by software even when tracking area (20) place changes and thus providing elimination of incorrect data receiving in addition to time and workforce saving.
2- A video tracking maze recognition strip according to claim 1 and it is characterized in that the strips (10) consist of various colours of visible light such as mainly green, red, blue, yellow or invisible spectrum such as infrared (IR) and ultraviolet (UV).
3- A video tracking maze recognition strip according to claim 1 and it is characterized in that it consists barcode/square code (30) containing data such as type, model, colour and sizes of experimental mechanism in the display field of the camera (50).
4- A video tracking maze recognition strip according to claim 1 and it is characterized in that alternatively video tracking method is used for observation of not only experimental animals (40) but also humans and assessment of types of their behaviours.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TR2018/10258 | 2018-07-18 | ||
| TR201810258 | 2018-07-18 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2020018029A1 true WO2020018029A1 (en) | 2020-01-23 |
Family
ID=69165122
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/TR2018/050381 WO2020018029A1 (en) | 2018-07-18 | 2018-07-18 | Video tracking maze recognition strip |
Country Status (1)
| Country | Link |
|---|---|
| WO (1) | WO2020018029A1 (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010051164A1 (en) * | 2008-10-30 | 2010-05-06 | Clever Sys, Inc. | System and method for stereo-view multiple animal behavior characterization |
| EP2740049A1 (en) * | 2011-08-03 | 2014-06-11 | Yeda Research and Development Co. Ltd. | Method for automatic behavioral phenotyping |
| WO2016065623A1 (en) * | 2014-10-31 | 2016-05-06 | SZ DJI Technology Co., Ltd. | Systems and methods for surveillance with visual marker |
-
2018
- 2018-07-18 WO PCT/TR2018/050381 patent/WO2020018029A1/en active Application Filing
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010051164A1 (en) * | 2008-10-30 | 2010-05-06 | Clever Sys, Inc. | System and method for stereo-view multiple animal behavior characterization |
| EP2740049A1 (en) * | 2011-08-03 | 2014-06-11 | Yeda Research and Development Co. Ltd. | Method for automatic behavioral phenotyping |
| WO2016065623A1 (en) * | 2014-10-31 | 2016-05-06 | SZ DJI Technology Co., Ltd. | Systems and methods for surveillance with visual marker |
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