Pedestrian traffic" is used as a representative evaluation index in the field of urban and transportation policies. As a method of counting the amount of pedestrian traffic, manual counting is performed, but the cost is currently exploring the possibility of using mobile data such as GPS data and Wi-Fi. As a result, the number of annual implementations and the number of measurement points are limited. The problem was that it was difficult to grasp. Wi-Fi requires an access point (AP) and that it was not all in the first place. In this research, we proposed a pedestrian count and point recognition system by face recognition and examined its effectiveness.
小型撮影デバイスを活用した歩行者量ならびに歩行軌跡把握手法の開発
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