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Fig. 6 | EURASIP Journal on Image and Video Processing

Fig. 6

From: A novel method for robust markerless tracking of rodent paws in 3D

Fig. 6

The Python GUI. Five major parameters classes are illustrated in the GUI: general, collision, “sub-image”, visualization, and fusion parameters. The general parameters contain the camera one path which the other paths would be found based on this by just replacing the camera number. The collision parameters show the two major parameters to resolve the collision issue. The “sub-image” parameters easily help the user to set the paw region that segmentation would be done. The visualization parameters can be adjusted based on the user need. The fusion parameters are the two weight factors being used in Eq. 5. Therefore, the user can adjust the parameters based on the setup and animal. Last but not least, if a parameter would be set out of the acceptable boundary, like Demonstrating_Flag, the system will highlight it

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