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Generalized Urban Traffic Surveillance (GUTS) : World-Coordinate Tracking for Traffic Safety Applications

Ahrnbom, Martin LU orcid ; Persson, Ivar LU ; Ardo, Hakan LU and Nilsson, Mikael LU (2022) 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC 2022-October. p.3813-3818
Abstract

We present a new world-coordinate tracking algorithm for road users seen from static surveillance cameras, denoted GUTS. It is based upon the previously published UTS method but simplifies and replaces parts allowing association logic to work in world coordinates, by using a novel convolutional neural network denoted SAMHNet to convert every detection into world coordinates. Experimental evaluation on synthetic data shows a MOTA increase of 41 % or 153% depending on distance metric, compared to UTS. Furthermore, the system is verified to work on a real-world recording. We further introduce a synthetic dataset denoted UTOCS which is the first of its kind to be standardized and made publicly available, allowing fair comparison between... (More)

We present a new world-coordinate tracking algorithm for road users seen from static surveillance cameras, denoted GUTS. It is based upon the previously published UTS method but simplifies and replaces parts allowing association logic to work in world coordinates, by using a novel convolutional neural network denoted SAMHNet to convert every detection into world coordinates. Experimental evaluation on synthetic data shows a MOTA increase of 41 % or 153% depending on distance metric, compared to UTS. Furthermore, the system is verified to work on a real-world recording. We further introduce a synthetic dataset denoted UTOCS which is the first of its kind to be standardized and made publicly available, allowing fair comparison between methods.

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author
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022
series title
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
volume
2022-October
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022
conference location
Macau, China
conference dates
2022-10-08 - 2022-10-12
external identifiers
  • scopus:85141824775
ISBN
9781665468800
DOI
10.1109/ITSC55140.2022.9921949
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2022 IEEE.
id
afe3ae71-6e0b-4eec-b9a7-f398cbc62f7d
date added to LUP
2022-12-29 14:06:18
date last changed
2023-04-10 10:45:22
@inproceedings{afe3ae71-6e0b-4eec-b9a7-f398cbc62f7d,
  abstract     = {{<p>We present a new world-coordinate tracking algorithm for road users seen from static surveillance cameras, denoted GUTS. It is based upon the previously published UTS method but simplifies and replaces parts allowing association logic to work in world coordinates, by using a novel convolutional neural network denoted SAMHNet to convert every detection into world coordinates. Experimental evaluation on synthetic data shows a MOTA increase of 41 % or 153% depending on distance metric, compared to UTS. Furthermore, the system is verified to work on a real-world recording. We further introduce a synthetic dataset denoted UTOCS which is the first of its kind to be standardized and made publicly available, allowing fair comparison between methods.</p>}},
  author       = {{Ahrnbom, Martin and Persson, Ivar and Ardo, Hakan and Nilsson, Mikael}},
  booktitle    = {{2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022}},
  isbn         = {{9781665468800}},
  language     = {{eng}},
  pages        = {{3813--3818}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC}},
  title        = {{Generalized Urban Traffic Surveillance (GUTS) : World-Coordinate Tracking for Traffic Safety Applications}},
  url          = {{http://dx.doi.org/10.1109/ITSC55140.2022.9921949}},
  doi          = {{10.1109/ITSC55140.2022.9921949}},
  volume       = {{2022-October}},
  year         = {{2022}},
}