Contains the code and weights to our paper "Multi-Task Deep Learning for Depth-based Person Perception in Mobile Robotics" that was published on IROS 2020.

A small project about person classification and re-indentification using PyTorch.

Dataset for patch-based person classification (person vs. non-person objects) and posture classification (standing vs. sitting vs. squatting). The data was recorded using a Kinect2 sensor and consists of labeled depth image patches of 27 persons in various postures and of various non-person objects. In total, the dataset consists of more than 23…