I am using DeepLabCut to track the whole body of the monkey, including the joints of the limbs and the shape of the tail. I took a total of 9 videos with three cameras at different angles(the angle difference between each camera is 90 degrees), and each video captured 40 frames, which is a total of 360 frames. After training 400K times, I refined the label, and used the refined training set to training 400K from the beginning.
The network I got has more accurate tracking of the back, head and other positions, but the tracking effect of the joints of the limbs and the tail has been very poor. The tracking of the limbs is often lost, and the left and right feet are often confused.
The tail may also be too variable and flexible, and the tracking effect is poor.
Since my camera is set on the side of the monkey (with space constraints), the other side of the monkey will continue to be blocked, which also prevents me from accurately tracking the other side of the limb.
The videos have motion blur.
I hope I can track the whole body of the monkey more accurately and solve the problems of occlusion and motion blur.
Thanks a lot for the help of the forum and any suggestions from anyone!