Bonobos are not much smaller than chimpanzees: males weigh about 39 kg (86 pounds) and females about 31 kg, but both are the same height, standing 115 cm. Such automated analysis unveils the future potential of large-scale longitudinal video archives to address fundamental questions in behavior and conservation. Closely resembling the chimpanzee in both physical appearance and mode of life, the bonobo is more slender, with longer limbs, a narrower chest, and a rounder head with a less-protruding face. The tools we developed enable easy processing and annotation of video datasets, including those from other species. Using the identified faces, we generated co-occurrence matrices to trace changes in the social network structure of an aging population. Three adult female chimpanzees, Chloe, Pendesa, and Ai, participated in the experiments. Describe adaptations that can occur in various ecosystems and relate the changes to the ability of an organism to survive. In a 14-year dataset yielding 10 million face images from 23 individuals over 50 hours of footage, we obtained an overall accuracy of 92.5% for identity recognition and 96.2% for sex recognition. Experiment 1: Efficient searching for a chimpanzee face. Located in 21 countries across the continent of Africa, the chimpanzee is a fascinating primate. We present a deep convolutional neural network (CNN) approach that provides a fully automated pipeline for face detection, tracking, and recognition of wild chimpanzees from long-term video records. Humans share 95-98 of the same DNA as chimpanzees. Video recording is now ubiquitous in the study of animal behavior, but its analysis on a large scale is prohibited by the time and resources needed to manually process large volumes of data.

Chimpanzee face camofauge