Social-Transmotion: Promptable Human Trajectory Prediction

arXiv:2312.16168v2 Announce Type: replace
Abstract: Accurate human trajectory prediction is crucial for applications such as autonomous vehicles, robotics, and surveillance systems. Yet, existing models often fail to fully leverage the non-verbal social cues human subconsciously communicate when navigating the space. To address this, we introduce Social-Transmotion, a generic Transformer-based model that exploits diverse and numerous visual cues to predict human behavior. We translate the idea of a prompt from Natural Language Processing (NLP) to the task of human trajectory prediction, …

arxiv cs.cv cs.ro human prediction social trajectory type