Taking Changle Pedestrian Mall in Yangling District for example,design of infrastructure and relevant factors of pedestrian mall were elaborated according to the contents and principles of pedestrian mall landscape de...Taking Changle Pedestrian Mall in Yangling District for example,design of infrastructure and relevant factors of pedestrian mall were elaborated according to the contents and principles of pedestrian mall landscape design.In view of problems in the landscape construction of Changle Pedestrian Mall,suggestions were given as the reference for landscape design of commercial pedestrian mall.展开更多
This paper shows the method of estimating spatiotemporal distribution of pedestrians by using watch cameras. We estimate the distribution without tracking technology, with pedestrian＇s privacy protected and in Umeda ...This paper shows the method of estimating spatiotemporal distribution of pedestrians by using watch cameras. We estimate the distribution without tracking technology, with pedestrian＇s privacy protected and in Umeda underground mall. Lately spatiotemporal distribution of pedestrians has being increasingly important in the field of urban planning, disaster prevention planning, marketing and so on. Although many researchers have tried to capture the information of location as dealing with some sensors, some problems still remain, such as the investment of sensors, the restriction of the number of people who has the device they are able to capture. From such background, we develop an original labelling algorithm and estimate the spatiotemporal distribution of pedestrians and the information of the passing time and the direction of pedestrians from sequential images of a watch camera.展开更多
文摘Taking Changle Pedestrian Mall in Yangling District for example,design of infrastructure and relevant factors of pedestrian mall were elaborated according to the contents and principles of pedestrian mall landscape design.In view of problems in the landscape construction of Changle Pedestrian Mall,suggestions were given as the reference for landscape design of commercial pedestrian mall.
基金Partially Supported by Grant-in-Aid for Scientific Research(A)(No.25240004)
文摘This paper shows the method of estimating spatiotemporal distribution of pedestrians by using watch cameras. We estimate the distribution without tracking technology, with pedestrian＇s privacy protected and in Umeda underground mall. Lately spatiotemporal distribution of pedestrians has being increasingly important in the field of urban planning, disaster prevention planning, marketing and so on. Although many researchers have tried to capture the information of location as dealing with some sensors, some problems still remain, such as the investment of sensors, the restriction of the number of people who has the device they are able to capture. From such background, we develop an original labelling algorithm and estimate the spatiotemporal distribution of pedestrians and the information of the passing time and the direction of pedestrians from sequential images of a watch camera.
