Fig. 1 Fully unified pipeline for wild chimpanzee face tracking and recognition from raw video footage. Fully unified pipeline for wild chimpanzee face.

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Fig. 1 Fully unified pipeline for wild chimpanzee face tracking and recognition from raw video footage. Fully unified pipeline for wild chimpanzee face tracking and recognition from raw video footage. The pipeline consists of the following stages: (A) Frames are extracted from raw video. (B) Detection of faces is performed using a deep CNN single-shot detector (SSD) model. (C) Face tracking, which is implemented using a Kanade-Lucas-Tomasi (KLT) tracker (25) to group detections into face tracks. (D) Facial identity and sex recognition, which are achieved through the training of deep CNN models. (E) The system only requires the raw video as input and produces labeled face tracks and metadata as temporal and spatial information. (F) This output from the pipeline can then be used to support, for example, social network analysis. (Photo credit: Kyoto University, Primate Research Institute)‏ Daniel Schofield et al. Sci Adv 2019;5:eaaw0736 Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).