Anticipation through Head Pose Estimation: a preliminary study
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Abstract (arXiv)
The ability to anticipate others' goals and intentions is at the basis of human-human social interaction. Such ability, largely based on non-verbal communication, is also a key to having natural and pleasant interactions with artificial agents, like robots. In this work, we discuss a preliminary experiment on the use of head pose as a visual cue to understand and anticipate action goals, particularly reaching and transporting movements. By reasoning on the spatio-temporal connections between the head, hands and objects in the scene, we will show that short-range anticipation is possible, laying the foundations for future applications to human-robot interaction.
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References · 12
- 2014Microsoft COCO: Common Objects in Contextcited by 17,498
- 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,829
- 2019Objects as Pointscited by 1,172
- 2021Anticipative Video Transformercited by 197
- 2017RED: Reinforced Encoder-Decoder Networks for Action Anticipationcited by 77
- 2022Future Transformer for Long-term Action Anticipationcited by 57
- 2023Memory-and-Anticipation Transformer for Online Action Understandingcited by 39
- 2023Object-centric Video Representation for Long-term Action Anticipationcited by 24
- 2018Action Anticipation: Reading the Intentions of Humans and Robotscited by 17
- 2023Action Anticipation with Goal Consistencycited by 12
- 2021HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertaintycited by 9
- 2023Streaming egocentric action anticipation: An evaluation scheme and approachcited by 5
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