id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-348584-j3r2veou	Sipetas, Charalampos	Estimation of left behind subway passengers through archived data and video image processing	2020-07-30		.txt	text/plain	9813	504	54	Image processing and object detection software was used to count the number of passengers that were left behind on station platforms from surveillance video feeds. By comparing this data against manual observations of the times that train doors open and close in the station, a linear regression model is estimated to predict dwell time from the train tracking records, as described in Section 5.1. To test the implementation of object detection with video in transit stations, a first step is to identify locations and times to collect video feeds as well as direct manual observations of left-behind passengers. Transportation Research Part C 118 (2020) 102727 shows a clear relationship between the video counts and passengers being left behind on station platforms, so there is potential to use the video feed as an explanatory variable in a model to estimate the likelihood of passengers being unable to board a train.	./cache/cord-348584-j3r2veou.txt	./txt/cord-348584-j3r2veou.txt