Automatic Pedestrian Detection and Counting Applied to Urban Planning

摘要

The statistical knowledge of human flows in the streets is mandatory for urban planning. Today many cities use the expensive method of manual pedestrian counting, since there is no reliable automatic counting device. This project aims at achieving the first efficient, real-time, embedded and autonomous system that provides high-level data. Our first work focused on the development of a reliable counting method under Matlab™. On the basis of video sequences recorded in the city of Mulhouse we have validated the robustness of our approach.