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Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

Abstract

The first pedestrian datasets were aimed at evaluating the new classifiers presented, then they started evaluating the complete detection results. We summarize the existing pedestrian datasets so far, pointing out their most significant aspects. A very important aspect in the evaluation of both classifiers and systems is the protocol used. In this chapter we also review them, describing their interesting points and their use depending on what is evaluated.

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Notes

  1. 1.

    http://pascallin.ecs.soton.ac.uk/challenges/VOC

  2. 2.

    http://www.cse.ohio-state.edu/otcbvs-bench

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Correspondence to David Gerónimo .

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Gerónimo, D., López, A.M. (2014). Datasets and Benchmarking. In: Vision-based Pedestrian Protection Systems for Intelligent Vehicles. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7987-1_5

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  • DOI: https://doi.org/10.1007/978-1-4614-7987-1_5

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7986-4

  • Online ISBN: 978-1-4614-7987-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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