Detecting Road Users at Intersections Through Changing Weather Using RGB-Thermal Videos

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Resumé

This paper compares the performance of a watch-dog sys- tem that detects road user actions in urban intersections to a KLT- based tracking system used in traffic surveillance. The two approaches are evaluated on 16 hours of video data captured by RGB and ther- mal cameras under challenging light and weather conditions. On this dataset, the detection performance of right turning vehicles, left turn- ing vehicles, and straight going cyclists are evaluated. Results from both systems show good performance when detecting turning vehicles with a precision of 0.90 and above depending on environmental conditions. The detection performance of cyclists shows that further work on both systems is needed in order to obtain acceptable recall rates.
OriginalsprogEngelsk
TitelAdvances in Visual Computing : 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part I
ForlagSpringer
Publikationsdato23 dec. 2015
Sider741-751
ISBN (Trykt)978-3-319-27856-8
ISBN (Elektronisk)978-3-319-27857-5
DOI
StatusUdgivet - 23 dec. 2015
BegivenhedISVC 2015: 11th International Symposium on Visual Computing - Las Vegas, USA
Varighed: 14 dec. 201516 dec. 2015

Konference

KonferenceISVC 2015
LandUSA
ByLas Vegas
Periode14/12/201516/12/2015
NavnLecture Notes in Computer Science
Vol/bind9474
ISSN0302-9743

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Bahnsen, C., & Moeslund, T. B. (2015). Detecting Road Users at Intersections Through Changing Weather Using RGB-Thermal Videos. I Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part I (s. 741-751). Springer. Lecture Notes in Computer Science, Bind. 9474 https://doi.org/10.1007/978-3-319-27857-5_66
Bahnsen, Chris ; Moeslund, Thomas B. / Detecting Road Users at Intersections Through Changing Weather Using RGB-Thermal Videos. Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part I. Springer, 2015. s. 741-751 (Lecture Notes in Computer Science, Bind 9474).
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abstract = "This paper compares the performance of a watch-dog sys- tem that detects road user actions in urban intersections to a KLT- based tracking system used in traffic surveillance. The two approaches are evaluated on 16 hours of video data captured by RGB and ther- mal cameras under challenging light and weather conditions. On this dataset, the detection performance of right turning vehicles, left turn- ing vehicles, and straight going cyclists are evaluated. Results from both systems show good performance when detecting turning vehicles with a precision of 0.90 and above depending on environmental conditions. The detection performance of cyclists shows that further work on both systems is needed in order to obtain acceptable recall rates.",
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Bahnsen, C & Moeslund, TB 2015, Detecting Road Users at Intersections Through Changing Weather Using RGB-Thermal Videos. i Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part I. Springer, Lecture Notes in Computer Science, bind 9474, s. 741-751, ISVC 2015, Las Vegas, USA, 14/12/2015. https://doi.org/10.1007/978-3-319-27857-5_66

Detecting Road Users at Intersections Through Changing Weather Using RGB-Thermal Videos. / Bahnsen, Chris; Moeslund, Thomas B.

Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part I. Springer, 2015. s. 741-751 (Lecture Notes in Computer Science, Bind 9474).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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Bahnsen C, Moeslund TB. Detecting Road Users at Intersections Through Changing Weather Using RGB-Thermal Videos. I Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part I. Springer. 2015. s. 741-751. (Lecture Notes in Computer Science, Bind 9474). https://doi.org/10.1007/978-3-319-27857-5_66