Shape-based pedestrian detection and localization

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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Bibliographische Detailangaben
Hauptverfasser: Bertozzi, M., Broggi, A., Chapuis, R., Chausse, F., Fascioli, A., Tibaldi, A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Cameras
Color
Intelligent vehicles
Layout
Machine vision
Motion detection
Roads
Shape
Vehicle crash testing
Vehicle detection
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Beschreibung
Zusammenfassung: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:10.1109/ITSC.2003.1251972