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Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Pedestrian Orientation Estimation

Authors : Joe Lallemand, Alexandra Ronge, Magdalena Szczot, Slobodan Ilic

Published in: Pattern Recognition

Publisher: Springer International Publishing

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Abstract

This paper addresses the task of estimating the orientation of pedestrians from monocular images provided by an automotive camera. From an initial detection of a pedestrian, we analyze the area within their bounding box and give an estimation of the orientation. Using ground truth mocap data, we define the orientations as a direction and a rough human pose. A random forest classifier trained on this data using HOG features assigns each detected pedestrian to their orientation cluster. Evaluation of the method is performed on a new dataset and on a publicly available dataset showing improved results.

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Footnotes
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Metadata
Title
Pedestrian Orientation Estimation
Authors
Joe Lallemand
Alexandra Ronge
Magdalena Szczot
Slobodan Ilic
Copyright Year
2014
Book
Pattern Recognition

Print ISBN: 978-3-319-11751-5

Electronic ISBN: 978-3-319-11752-2

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-11752-2_39

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