2P1-D18 差分ステレオを用いた歩行者集団の計測

概要

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This paper proposes a method to distinguish a state of walk of pedestrian groups by using "subtraction stereo" which is a stereo camera system that focuses on moving regions to make stereo matching fast and robust to the correspondence problem in computer vision. The state is classified into four categories: convergence, divergence, parallel shift, and stop. The state of walk is distinguished by an angle and a speed in 3D space of feature points of pedestrians obtained by the KLT Tracker. The effectiveness of the proposed method is verified by several experiments.
一般社団法人日本機械学会の論文