Real-Time Monocular Segmentation and Pose Tracking of Multiple Objects

  • Henning Tjaden
  • Ulrich Schwanecke
  • Elmar Schömer
Conference paper

DOI: 10.1007/978-3-319-46493-0_26

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9908)
Cite this paper as:
Tjaden H., Schwanecke U., Schömer E. (2016) Real-Time Monocular Segmentation and Pose Tracking of Multiple Objects. In: Leibe B., Matas J., Sebe N., Welling M. (eds) Computer Vision – ECCV 2016. ECCV 2016. Lecture Notes in Computer Science, vol 9908. Springer, Cham

Abstract

We present a real-time system capable of segmenting multiple 3D objects and tracking their pose using a single RGB camera, based on prior shape knowledge. The proposed method uses twist-coordinates for pose parametrization and a pixel-wise second-order optimization approach which lead to major improvements in terms of tracking robustness, especially in cases of fast motion and scale changes, compared to previous region-based approaches. Our implementation runs at about 50–100 Hz on a commodity laptop when tracking a single object without relying on GPGPU computations. We compare our method to the current state of the art in various experiments involving challenging motion sequences and different complex objects.

Keywords

Tracking Segmentation Real-time Monocular Pose estimation Model-based Shape knowledge 

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Henning Tjaden
    • 1
  • Ulrich Schwanecke
    • 1
  • Elmar Schömer
    • 2
  1. 1.Computer Science DepartmentRheinMain University of Applied SciencesWiesbadenGermany
  2. 2.Institute of Computer ScienceJohannes Gutenberg University MainzMainzGermany

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