March 18, 2024, 4:44 a.m. | Zhiming Hu, Syn Schmitt, Daniel Haeufle, Andreas Bulling

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.09885v1 Announce Type: new
Abstract: We present GazeMotion, a novel method for human motion forecasting that combines information on past human poses with human eye gaze. Inspired by evidence from behavioural sciences showing that human eye and body movements are closely coordinated, GazeMotion first predicts future eye gaze from past gaze, then fuses predicted future gaze and past poses into a gaze-pose graph, and finally uses a residual graph convolutional network to forecast body motion. We extensively evaluate our method …

abstract arxiv cs.cv evidence forecasting future human human eye information movements novel type

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