Generalized Urban Traffic Surveillance (GUTS) : World-Coordinate Tracking for Traffic Safety Applications
(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
- Ahrnbom, Martin LU ; Persson, Ivar LU ; Ardo, Hakan LU and Nilsson, Mikael LU
- organization
- publishing date
- 2022
- 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}}, }