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Published in:
Capabilities of Humans for Vehicle Guidance Read chapter Read first chapter

2016 | OriginalPaper | Chapter

22. Camera Based Pedestrian Detection

Authors : Bernt Schiele, Christian Wojek

Published in: Handbook of Driver Assistance Systems

Publisher: Springer International Publishing

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Abstract

Detecting pedestrians in street scenes is one of the most important but also one of the most difficult problems of computer vision. Ideally, all pedestrians should be robustly detected in order to provide optimal assistance to the driver regardless of visual conditions. Different environmental factors complicate this, however. Especially problematic are changing weather and visual conditions as well as difficult lighting situations and road conditions. Moreover, an individual’s clothing and partial occlusions of pedestrians, for example, by parked cars, further complicate the detection task. Also, in comparison to many other objects in street scenes, pedestrians are characterized by a high degree of articulation further complicating the task.

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previous chapter Stereovision for ADAS
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Metadata
Title
Camera Based Pedestrian Detection
Authors
Bernt Schiele
Christian Wojek
Copyright Year
2016
Publisher
Springer International Publishing
Book
Handbook of Driver Assistance Systems

Print ISBN: 978-3-319-12351-6

Electronic ISBN: 978-3-319-12352-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-12352-3_23

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