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Large scale surveillance video analysis is one of the most important components in the future artificial intelligent city. It is a very challenging but practical system, consists of multiple functionalities such as object detection, tracking, identification and behavior analysis. In this paper, we try to address three tasks hosted in NVIDIA AI City Challenge contest. First, a system that transforming the image coordinate to world coordinate has been proposed, which is useful to estimate thedoi:10.1109/cvprw.2018.00017 dblp:conf/cvpr/FengJWCRG18 fatcat:k6rgabsprvdbzpzsnkkubee2mi