A Framework for Automated Traffic Safety Analysis from Video Using Modern Computer Vision

Morten Bornø Jensen; Martin Ahrnbom; Maarten Kruithof; Karl Åström; Mikael Nilsson; Håkan Ardö; Aliaksei Laureshyn; Carl Johnsson; Thomas Moeslund

A Framework for Automated Traffic Safety Analysis from Video Using Modern Computer Vision

Morten Bornø Jensen, Martin Ahrnbom, Maarten Kruithof, Karl Åström, Mikael Nilsson, Håkan Ardö, Aliaksei Laureshyn, Carl Johnsson, Thomas Moeslund

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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Original language	English
Title of host publication	Transportation Research Board Annual Meeting 2019
Publication status	Published - 2019 Jan 13

Subject classification (UKÄ)

Transport Systems and Logistics

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paperOther version, 7.94 MB

Cite this

@inproceedings{7ab38e67629c446f973aa8da0b24c24b,

title = "A Framework for Automated Traffic Safety Analysis from Video Using Modern Computer Vision",

author = "{Born{\o} Jensen}, Morten and Martin Ahrnbom and Maarten Kruithof and Karl {\AA}str{\"o}m and Mikael Nilsson and H{\aa}kan Ard{\"o} and Aliaksei Laureshyn and Carl Johnsson and Thomas Moeslund",

year = "2019",

month = jan,

day = "13",

language = "English",

booktitle = "Transportation Research Board Annual Meeting 2019",

}

TY - GEN

T1 - A Framework for Automated Traffic Safety Analysis from Video Using Modern Computer Vision

AU - Bornø Jensen, Morten

AU - Ahrnbom, Martin

AU - Kruithof, Maarten

AU - Åström, Karl

AU - Nilsson, Mikael

AU - Ardö, Håkan

AU - Laureshyn, Aliaksei

AU - Johnsson, Carl

AU - Moeslund, Thomas

PY - 2019/1/13

Y1 - 2019/1/13

M3 - Paper in conference proceeding

BT - Transportation Research Board Annual Meeting 2019

ER -