Figure 2.

Face Detection and Identification of the Golden Snub-Nosed Monkeys by Using Deep Learning Methods in Tri-AI

(A) An original video has many frames, and the face areas of the monkeys must first be detected using Faster RCNN (Ren et al., 2015) from each frame.

(B1 and B2) The detected monkeys' faces are all marked in each frame by Faster RCNN and then are input to Tri-attention network for individual identification.

(C1) Tri-AI identifies and names all monkeys known in the database.

(C2) If Tri-AI finds a new monkey face, a new name is then given and automatically added to the database.