Deep-Learning-Based Motion Capture Technology in Film and Television Animation Production

Abstract

With the popularity of King Kong, Pirates of the Caribbean 2, Avatar, and other films, the virtual characters in these films have become popular and well loved by audiences. The creation of these virtual characters is different from traditional 3D animation but is based on real character movements and expressions. An overview of several mainstream motion capture systems in the field of motion capture is presented, and the application of motion capture technology in film and animation is explained in detail. The current motion capture technology is mainly based on complex human markers and sensors, which are costly, while deep-learning-based human pose estimation is becoming a new option. However, most existing methods are based on a single person or picture estimation, and there are many challenges for video multiperson estimation. The experimental results show that a simple design of the human motion capture system is achieved.