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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 The Author(s)
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-1-4614-7987-1_5
Published:
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)