Multi-view body tracking with a detector-driven hierarchical particle filter

  • Authors:
  • Sergio Navarro;Adolfo López-Méndez;Marcel Alcoverro;Josep Ramon Casas

  • Affiliations:
  • Technical University of Catalonia (UPC), Barcelona, Spain;Technical University of Catalonia (UPC), Barcelona, Spain;Technical University of Catalonia (UPC), Barcelona, Spain;Technical University of Catalonia (UPC), Barcelona, Spain

  • Venue:
  • AMDO'12 Proceedings of the 7th international conference on Articulated Motion and Deformable Objects
  • Year:
  • 2012

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Abstract

In this paper we present a novel approach to markerless human motion capture that robustly integrates body part detections in multiple views. The proposed method fuses cues from multiple views to enhance the propagation and observation model of particle filtering methods aiming at human motion capture. We particularize our method to improve arm tracking in the publicly available IXMAS dataset. Our experiments show that the proposed method outperforms other state-of-the-art approaches.