Gait Recognition of Amur Tiger Based on Deep Learning

Abstract

The gait of Amur tiger was studied through video images, and a more accurate individual recognition system of Wild Amur tiger was given on the premise of supplementing pattern recognition technology. Through further research on the common gait of Amur tiger, the basic information database was established to realize the physiological state research of Amur tiger. The characteristic structure and movement standard model of Amur tiger were constructed to complete the simulation and reconstruction of Amur tiger’s routine movement. Through the simulation corridor of tiger movement trajectory, the ecological protection area can be divided effectively.