Pose Estimation using MARIO - visual based game statistics for robot soccer matches
paper available at https://www.researchgate.net/publicat...
RoboCup is an International robotics initiative whose aim is to promote robotics and AI research.
RoboCup's long-term goal is to create a fully autonomous humanoid robot team capable of competing and winning a soccer game against the human World champion team, in compliance with the official rules of FIFA, by 2050.
To detect the pose of the NAOs, we used a slightly optimized version of OpenPose, called Lightweight OpenPose. In this version, the VGG feature extractor is replaced with a MobileNetV1 network and it is optimized for reaching real-time performance. In particular, all the layers are kept and a dilated convolution is used for saving the spatial resolution and reusing the backbone weights.