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Handbook of Driver Assistance Systems pp 525–545Cite as

Camera Based Pedestrian Detection

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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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Author information

Authors and Affiliations

  1. Computer Vision and Multimodal Computing, Max Planck Institute for Informatics, Campus E 1.4, 66123, Saarbrücken, Germany

    Bernt Schiele

  2. Carl Zeiss AG, Carl-Zeiss-Str. 22, 73447, Oberkochen, Germany

    Christian Wojek

Authors
  1. Bernt Schiele
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  2. Christian Wojek
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Corresponding author

Correspondence to Bernt Schiele .

Editor information

Editors and Affiliations

  1. Institute of Automotive Engineering, Technische Universität Darmstadt, Darmstadt, Germany

    Hermann Winner

  2. Continental Engineering Services GmbH, Frankfurt am Main, Germany

    Stephan Hakuli

  3. Continental AG, Frankfurt am Main, Germany

    Felix Lotz

  4. Institute of Automotive Engineering, Technische Universität Darmstadt, Darmstadt, Germany

    Christina Singer

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© 2016 Springer International Publishing Switzerland

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Schiele, B., Wojek, C. (2016). Camera Based Pedestrian Detection. In: Winner, H., Hakuli, S., Lotz, F., Singer, C. (eds) Handbook of Driver Assistance Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-12352-3_23

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