Human following serves an important human-robotics interaction feature, while real-world scenarios make it challenging particularly for a mobile agent. The main challenge is that when a mobile agent try to locate and follow a targeted person, this person can be in a crowd, be occluded by other people, and/or be facing (partially) away from the mobile agent. To address the challenge, we present a novel person re-identification module, which contains three parts: 1) a 360-degree visual registration process, 2) a neural-based person re-identification mechanism by multiple body parts – human faces…Apple Machine Learning Research