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Researchers Design Facial Recognition System for Lemurs
February 20, 2017
University of Arizona anthropologist Stacey Tecot has spent 17 years studying red-bellied lemurs in Madagascar’s Ranomafana National Park. One of the biggest ongoing challenges in conducting her research: keeping track of who’s who in the lemur community.
In search of a way to better track and recognize individual lemurs in the wild – in the least invasive way possible – Tecot and fellow anthropologist Rachel Jacobs, of George Washington University, enlisted the help of their colleague Andrea Baden and computer scientists to create a facial recognition system capable of identifying lemurs through their distinctive physical characteristics.
The result was LemurFaceID, a computer-assisted recognition system that has the potential to redefine how researchers track different species in the wild.
The technology, described in the current issue of the journal BMC Zoology, will support researchers in important evolutionary studies and aid in conservation efforts for lemurs, which were named the world’s most endangered group of mammals in 2012.
More:
https://scienceblog.com/492235/researchers-design-facial-recognition-system-lemurs/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+scienceblogrssfeed+%28ScienceBlog.com%29