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Visual Estimation of Attentive Cues in HRI: The Case of Torso and Head Pose

  • Markos SigalasEmail author
  • Maria Pateraki
  • Panos Trahanias
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9163)

Abstract

Capturing visual human-centered information is a fundamental input source for effective and successful human-robot interaction (HRI) in dynamic multi-party social settings. Torso and head pose, as forms of nonverbal communication, support the derivation people’s focus of attention, a key variable in the analysis of human behaviour in HRI paradigms encompassing social aspects. Towards this goal, we have developed a model-based approach for torso and head pose estimation to overcome key limitations in free-form interaction scenarios and issues of partial intra- and inter-person occlusions. The proposed approach builds up on the concept of Top View Re-projection (TVR) to uniformly treat the respective body parts, modelled as cylinders. For each body part a number of pose hypotheses is sampled from its configuration space. Each pose hypothesis is evaluated against the a scoring function and the hypothesis with the best score yields for the assumed pose and the location of the joints. A refinement step on head pose is applied based on tracking facial patch deformations to compute for the horizontal off-plane rotation. The overall approach forms one of the core component of a vision system integrated in a robotic platform that supports socially appropriate, multi-party, multimodal interaction in a bartending scenario. Results in the robot’s environment during real HRI experiments with varying number of users attest for the effectiveness of our approach.

Keywords

Body pose estimation Head pose Model-based Tracking Particle filtering 

Notes

Acknowledgments

This work was partially supported by the European Commission under contract number FP7-270435 (JAMES project).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Markos Sigalas
    • 1
    • 2
    Email author
  • Maria Pateraki
    • 1
  • Panos Trahanias
    • 1
    • 2
  1. 1.Institute of Computer Science, Foundation for Research and Technology - HellasHeraklionGreece
  2. 2.Department of Computer ScienceUniversity of CreteRethymnoGreece

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