License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.08091.13
URN: urn:nbn:de:0030-drops-16173
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2008/1617/
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Ess, Andreas ; Schindler, Konrad ; Leibe, Bastian ; van Gool, Luc

Robust Multi-Person Tracking from Moving Platforms

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08091.LeibeBastian.Paper.1617.pdf (0.5 MB)

Abstract

In this paper, we address the problem of multi-person tracking in busy pedestrian
zones, using a stereo rig mounted on a mobile platform. The
complexity of the problem calls for an integrated solution, which
extracts as much visual information as possible and combines it
through cognitive feedback. We propose such an approach, which
jointly estimates camera position, stereo depth, object detection,
and tracking. We model the interplay between these components
using a graphical model. Since the model has to
incorporate object-object interactions, and temporal links to past
frames, direct inference is intractable. We therefore propose a two-stage
procedure: for each frame we first solve a simplified version of the
model (disregarding interactions and temporal continuity) to
estimate the scene geometry and an overcomplete set of object
detections. Conditioned on these results, we then address object
interactions, tracking, and prediction in a second step. The
approach is experimentally evaluated on several long and difficult
video sequences from busy inner-city locations. Our results show
that the proposed integration makes it possible to deliver stable
tracking performance in scenes of realistic complexity.

BibTeX - Entry

@InProceedings{ess_et_al:DagSemProc.08091.13,
  author =	{Ess, Andreas and Schindler, Konrad and Leibe, Bastian and van Gool, Luc},
  title =	{{Robust Multi-Person Tracking from Moving Platforms}},
  booktitle =	{Logic and Probability for Scene Interpretation},
  pages =	{1--15},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8091},
  editor =	{Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2008/1617},
  URN =		{urn:nbn:de:0030-drops-16173},
  doi =		{10.4230/DagSemProc.08091.13},
  annote =	{Keywords: Pedestrian detection, tracking, Mobile vision}
}

Keywords: Pedestrian detection, tracking, Mobile vision
Collection: 08091 - Logic and Probability for Scene Interpretation
Issue Date: 2008
Date of publication: 23.10.2008

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