Multi-Perspective Vehicle Detection and Tracking: Challenges, Dataset, and Metrics

Jacob Velling Dueholm, Miklas Strøm Kristoffersen, Ravi K. Satzoda, Eshed Ohn-Bar, Thomas B. Moeslund, Mohan M. Trivedi

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

6 Citationer (Scopus)

Resumé

The research community has shown significant improvements
in both vision-based detection and tracking of vehicles,
working towards a high level understanding of on-road
maneuvers. Behaviors of surrounding vehicles in a highway
environment is found as an interesting starting point, of
why this dataset is introduced along with its challenges
and evaluation metrics. A vision-based multi-perspective
dataset is presented, containing a full panoramic view from
a moving platform driving on U.S. highways capturing
2704x1440 resolution images at 12 frames per second. The
dataset serves multiple purposes to be used as traditional
detection and tracking, together with tracking of vehicles
across perspectives. Each of the four perspectives have
been annotated, resulting in more than 4000 bounding boxes
in order to evaluate and compare novel methods.
OriginalsprogEngelsk
Titel2016 IEEE 19th International Conference on Intelligent Transportation Systems
ForlagIEEE
Publikationsdato26 dec. 2016
Sider959-964
Artikelnummer575
ISBN (Elektronisk)978-1-5090-1889-5
DOI
StatusUdgivet - 26 dec. 2016
BegivenhedInternational Conference on Intelligent Transportation Systems - Convention Center, Windsor Oceanico Hotel, Rio de Janeiro, Brasilien
Varighed: 1 nov. 20164 nov. 2016
Konferencens nummer: 19

Konference

KonferenceInternational Conference on Intelligent Transportation Systems
Nummer19
LokationConvention Center, Windsor Oceanico Hotel
LandBrasilien
ByRio de Janeiro
Periode01/11/201604/11/2016

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Dueholm, J. V., Kristoffersen, M. S., Satzoda, R. K., Ohn-Bar, E., Moeslund, T. B., & Trivedi, M. M. (2016). Multi-Perspective Vehicle Detection and Tracking: Challenges, Dataset, and Metrics. I 2016 IEEE 19th International Conference on Intelligent Transportation Systems (s. 959-964). [575] IEEE. https://doi.org/10.1109/ITSC.2016.7795671
Dueholm, Jacob Velling ; Kristoffersen, Miklas Strøm ; Satzoda, Ravi K. ; Ohn-Bar, Eshed ; Moeslund, Thomas B. ; Trivedi, Mohan M. / Multi-Perspective Vehicle Detection and Tracking : Challenges, Dataset, and Metrics. 2016 IEEE 19th International Conference on Intelligent Transportation Systems. IEEE, 2016. s. 959-964
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title = "Multi-Perspective Vehicle Detection and Tracking: Challenges, Dataset, and Metrics",
abstract = "The research community has shown significant improvementsin both vision-based detection and tracking of vehicles,working towards a high level understanding of on-roadmaneuvers. Behaviors of surrounding vehicles in a highwayenvironment is found as an interesting starting point, ofwhy this dataset is introduced along with its challengesand evaluation metrics. A vision-based multi-perspectivedataset is presented, containing a full panoramic view froma moving platform driving on U.S. highways capturing2704x1440 resolution images at 12 frames per second. Thedataset serves multiple purposes to be used as traditionaldetection and tracking, together with tracking of vehiclesacross perspectives. Each of the four perspectives havebeen annotated, resulting in more than 4000 bounding boxesin order to evaluate and compare novel methods.",
author = "Dueholm, {Jacob Velling} and Kristoffersen, {Miklas Str{\o}m} and Satzoda, {Ravi K.} and Eshed Ohn-Bar and Moeslund, {Thomas B.} and Trivedi, {Mohan M.}",
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Dueholm, JV, Kristoffersen, MS, Satzoda, RK, Ohn-Bar, E, Moeslund, TB & Trivedi, MM 2016, Multi-Perspective Vehicle Detection and Tracking: Challenges, Dataset, and Metrics. i 2016 IEEE 19th International Conference on Intelligent Transportation Systems., 575, IEEE, s. 959-964, International Conference on Intelligent Transportation Systems, Rio de Janeiro, Brasilien, 01/11/2016. https://doi.org/10.1109/ITSC.2016.7795671

Multi-Perspective Vehicle Detection and Tracking : Challenges, Dataset, and Metrics. / Dueholm, Jacob Velling; Kristoffersen, Miklas Strøm; Satzoda, Ravi K.; Ohn-Bar, Eshed; Moeslund, Thomas B.; Trivedi, Mohan M.

2016 IEEE 19th International Conference on Intelligent Transportation Systems. IEEE, 2016. s. 959-964 575.

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

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Dueholm JV, Kristoffersen MS, Satzoda RK, Ohn-Bar E, Moeslund TB, Trivedi MM. Multi-Perspective Vehicle Detection and Tracking: Challenges, Dataset, and Metrics. I 2016 IEEE 19th International Conference on Intelligent Transportation Systems. IEEE. 2016. s. 959-964. 575 https://doi.org/10.1109/ITSC.2016.7795671