Artificial intelligence for wildlife monitoring conservation – automatic species identification for medium to large mammals in Taiwan

  • Publication Date: 2020-04-03
Application Dept. Dept. of Forestry
Principal Investigator A. P. Hsiang-Ling Chen ( Personal Webpage )
Project Title Artificial intelligence for wildlife monitoring and conservation – automatic species identification for medium to large mammals in Taiwan
Co-Principal Investigator Prof. Jiunn-Lin Wu, Dept. of Computer Science and Engineering
Co-Investigator 1. Post-doc. Yu-Sheng Chen, Dept. of Mechanical Engineering 2. Wei-Ting Liou, AVP of Observer Ecological Consultant Co., Ltd
Abstract Infra-red trail cameras can collect data for multiple wildlife species to understand species composition, distribution, social structure, activity pattern, ecology and population dynamics, and therefore are commonly used in wildlife survey. However, the images require long time and huge human effort to process. This project combines image processing and deep learning models to develop auto-image processing and species classification for medium to large mammals in Taiwan.