Monkey Features Location Identification Using Convolutional Neural Networks

Autor:	Rollyn Labuguen, Jumpei Matsumoto, Blanco Sn, Gaurav, Ken-ichi Inoue, Tomohiro Shibata
Rok vydání:	2018
Předmět:	Identification (information) business.industry Computer science RGB color model Pattern recognition Artificial intelligence business Convolutional neural network Feature detection (computer vision)
DOI:	10.1101/377895
Popis:	Understanding animal behavior in its natural habitat is a challenging task. One of the primary step for analyzing animal behavior is feature detection. In this study, we propose the use of deep convolutional neural network (CNN) to locate monkey features from raw RGB images of monkey in its natural environment. We train the model to identify features such as the nose and shoulders of the monkey at about 0.01 model loss.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a05eb755ae631911e6bccc2d74db45af https://doi.org/10.1101/377895 Zobrazit plný text záznamu