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Anticipation through Head Pose Estimation: a preliminary study

arXiv 2408.05516 ↗First posted 10 Aug 2024cs.RO cs.CVcited by 0

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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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 20 references that are in the map. First posted on arXiv 10 Aug 2024.

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References · 12

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  2. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,829
  3. 2019Objects as Pointscited by 1,172
  4. 2021Anticipative Video Transformercited by 197
  5. 2017RED: Reinforced Encoder-Decoder Networks for Action Anticipationcited by 77
  6. 2022Future Transformer for Long-term Action Anticipationcited by 57
  7. 2023Memory-and-Anticipation Transformer for Online Action Understandingcited by 39
  8. 2023Object-centric Video Representation for Long-term Action Anticipationcited by 24
  9. 2018Action Anticipation: Reading the Intentions of Humans and Robotscited by 17
  10. 2023Action Anticipation with Goal Consistencycited by 12
  11. 2021HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertaintycited by 9
  12. 2023Streaming egocentric action anticipation: An evaluation scheme and approachcited by 5

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