Nicolas SAUNIER1, Jean-Michel AUBERLET2, Marie-Axelle GRANIE3
Columbia) for the video analysis tool, and Ali El Husseini (student at Ecole Polythechnique de ... A Study of Pedestrian Crossing Behavior Using Video Sensors.
A Study of Pedestrian Crossing Behavior Using Video Sensors 1
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Nicolas SAUNIER , Jean-Michel AUBERLET , Marie-Axelle GRANIE 1
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École Polytechnique de Montréal – Université Paris Est, LEPSIS, INRETS-LCPC, Paris France - INRETS-MA
Context Accident analysis highlights that most accidents involving pedestrians take place at crosswalk, shared space where potential conflicts between pedestrians and drivers may occur. One of the goals of these works aims to contribute to the pedestrian modeling in crosswalk situations and more generally in urban areas. One of the difficulties to set up microscopic traffic simulation tools is the lack of traffic data on pedestrians and their interactions with the drivers. In this contribution, we aim to achieve a method in order to collect traffic data sets involving pedestrian and vehicles. West
Video data set and observed site The chosen observed site is located in Rouen (France). Both pedestrian and motorized traffic flows are sufficient to test our method. We did not observe congestion peaks. For this work, the video data was collected around noon. The video data collection was performed by David Doucet from the CETE-NC. The video duration is 50 minutes.
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An unsignalized intersection in Rouen (France). View from a pedestrian and global view of the intersection
Trajectory extraction Pre-processing step: camera calibration
Project object in the image space to the « real world » space (ground level)
Homography matrix
Feature-based tracking
+ Trajectory prototypes for classification vehicles pedestrians
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Features on pedestrians
Road user trajectories (pedestrian and vehicles)
Saunier, N. & Sayed, T. A feature-based tracking algorithm for vehicles in intersections. Third Canadian Conference on Computer and Robot Vision, IEEE, 2006
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Pedestrian average speed distribution The speed of the pedestrians is slightly higher when the presence of vehicles is detected in the field of view. This a significant effect (Kolmogorov-Smirnov test with p
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