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Shape-based pedestrian detection and localization

Bertozzi, M. / Broggi, A. / Chapuis, R. / Chausse, F. / Fascioli, A. / Tibaldi, A.

This work presents a vision-based system for detecting and localizing pedestrians in road environments by means of a statistical technique. Initially, attentive vision techniques relying on the search for specific characteristics of pedestrians such as vertical symmetry and strong presence of edges, allow to select interesting regions likely to contain pedestrians. These regions are then used to estimate the localization of pedestrians using a Kalman filter estimator.

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Shape-based pedestrian detection and localization

Bertozzi, M. / Broggi, A. / Chapuis, R. / Chausse, F. / Fascioli, A. / Tibaldi, A.

This work presents a vision-based system for detecting and localizing pedestrians in road environments by means of a statistical technique. Initially, attentive vision techniques relying on the search for specific characteristics of pedestrians such as vertical symmetry and strong presence of edges, allow to select interesting regions likely to contain pedestrians. These regions are then used to estimate the localization of pedestrians using a Kalman filter estimator.

Shape-based pedestrian detection and localization

Bertozzi, M. / Broggi, A. / Chapuis, R. / Chausse, F. / Fascioli, A. / Tibaldi, A.

This work presents a vision-based system for detecting and localizing pedestrians in road environments by means of a statistical technique. Initially, attentive vision techniques relying on the search for specific characteristics of pedestrians such as vertical symmetry and strong presence of edges, allow to select interesting regions likely to contain pedestrians. These regions are then used to estimate the localization of pedestrians using a Kalman filter estimator.

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Title:

Shape-based pedestrian detection and localization

Contributors:

Bertozzi, M. (author) / Broggi, A. (author) / Chapuis, R. (author) / Chausse, F. (author) / Fascioli, A. (author) / Tibaldi, A. (author)

Published in:

Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems ; 1 ; 328-333 vol.1

Publication date:

2003-01-01

Size:

571664 byte

ISBN:

DOI:

https://doi.org/10.1109/ITSC.2003.1251972

Type of media:

Conference paper

Type of material:

Electronic Resource

Language:

English

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