Shape-based pedestrian detection and localization
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,...
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| container_end_page | 333 vol.1 |
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| container_start_page | 328 |
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| creator | Bertozzi, M. Broggi, A. Chapuis, R. Chausse, F. Fascioli, A. Tibaldi, A. |
| description | 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. |
| doi_str_mv | 10.1109/ITSC.2003.1251972 |
| format | Conference Proceeding |
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| ispartof | Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, 2003, Vol.1, p.328-333 vol.1 |
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| language | eng |
| recordid | cdi_ieee_primary_1251972 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cameras Color Intelligent vehicles Layout Machine vision Motion detection Roads Shape Vehicle crash testing Vehicle detection |
| title | Shape-based pedestrian detection and localization |
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