@inproceedings{d7ed5b781dcc4d569d7038f253bf41a3,
title = "Effective object detection from traffic camera videos",
abstract = "The NVIDIA AI City Challenge[1] is a recent effort to materialize the potential benefits of actionable insights in current traffic systems by utilizing both large amount of richly annotated traffic camera video data captured by growing number of cameras, and advanced technologies developed in recent years in image and video recognition and analysis. In this work, we will compare the AI City dataset with other existing vehicle detection datasets, and illustrate the details of the solution of our winning entries to the 1st NVIDIA AI City Challenge. Our code and models are also available at https://github.com/NVIDIAAICITYCHALLENGE/AICity-Team24.",
keywords = "Object detection, pedestrian detection, traffic cameras, traffic light detection, vehicle detection, video analysis",
author = "Honghui Shi and Zhichao Liu and Yuchen Fan and Xinchao Wang and Thomas Huang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 ; Conference date: 04-04-2017 Through 08-04-2017",
year = "2018",
month = jun,
day = "26",
doi = "10.1109/UIC-ATC.2017.8397671",
language = "English (US)",
series = "2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
booktitle = "2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings",
address = "United States",
}