EAN: 9781461479864

SPRINGERBRIEFS IN COMPUTER SCIENCE VISION-BAS...

Pedestrian Protection Systems (PPSs) are on-board systems aimed at detecting and tracking
people in the surroundings of a vehicle in order to avoid potentially dangerous situations.
These systems  together with other Advanced Driver Assistance Systems (ADAS) such as lane
departure warning or adaptive cruise control  are one of the most promising ways to improve
traffic safety. By the use of computer vision  cameras working either in the visible or
infra-red spectra have been demonstrated as a reliable sensor to perform this task.
Nevertheless  the variability of human's appearance  not only in terms of clothing and sizes
but also as a result of their dynamic shape  makes pedestrians one of the most complex classes
even for computer vision. Moreover  the unstructured changing and unpredictable environment in
which such on-board systems must work makes detection a difficult task to be carried out with
the demanded robustness. In this brief  the state of the art in PPSs is introduced through the
review of the most relevant papers of the last decade. A common computational architecture is
presented as a framework to organize each method according to its main contribution. More than
300 papers are referenced  most of them addressing pedestrian detection and others
corresponding to the descriptors (features)  pedestrian models  and learning machines used. In
addition  an overview of topics such as real-time aspects  systems benchmarking and future
challenges of this research area are presented.

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