A Method for Automatic Detection of Target Species Using Infrared Cameras:

Author of the article:WANG Hanlin^1,2, WEN Shuai³, BAI Jun^1,2, LI Dongrui^1,2, LUO Gai^1,2, LIN Yucheng^1,2*

Author's Workplace：1.Key Laboratory of Bio‑Resources and Eco‑Environment （Ministry of Education）， College of Life Sciences， Sichuan University， Chengdu 610065， China
2.Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife， College of Life Sciences，Sichuan University， Chengdu 610065， China
3.College of Computer Technology and Science， Southwest University of Science and Technology， Mianyang， Sichuan Province 621010， China

Key Words：infrared camera;attention mechanism;object detection;

Abstract：Infrared camera is an important method in the investigation and monitoring of wildlife resources， but the processes of massive image data and species identification are time‑consuming and laborious. Infrared camera is unable to automatically identify target species along with large amount of image data， cumbersome manual retrieval， and low detection efficiency and identification accuracy of convolution neural network. To solve these problems， this study proposed an object detection method embedding attention mechanism by using Chinese monal （Lophophorus lhuysii） as model. A total of 110 000 images were collected by infrared cameras， and 715 images were selected for further analysis. The results showed that the accuracy of the proposed network could achieve 99.62%. The improved method can improve the efficiency of species identification， reduce labor costs， and promote the protection of target species.