Automated video analysis as a tool for analysing road user behaviour

Aliaksei Laureshyn; Håkan Ardö

Automated video analysis as a tool for analysing road user behaviour

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Sammanfattning

At Lund University an automated video analysis system is being developed that can be applied for studying the behaviour of road users in complex traffic environments. It is stressed that system must be capable of handling all the categories of road users, i.e. vehicles, pedestrians and cyclists. Common problems like detection and tracking of moving objects, occlusion by foreground objects, ground-plane co-ordinates estimation, smoothing of the scattered data and estimation of speed and acceleration profiles are discussed and some solution proposed.

Originalspråk	engelska
Titel på värdpublikation	Proceedings of ITS World Congress, London, 8-12 October 2006
Redaktörer	Ralf Risser
Status	Published - 2006

Ämnesklassifikation (UKÄ)

Infrastrukturteknik
Matematik

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ITS_London_2240

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title = "Automated video analysis as a tool for analysing road user behaviour",

abstract = "At Lund University an automated video analysis system is being developed that can be applied for studying the behaviour of road users in complex traffic environments. It is stressed that system must be capable of handling all the categories of road users, i.e. vehicles, pedestrians and cyclists. Common problems like detection and tracking of moving objects, occlusion by foreground objects, ground-plane co-ordinates estimation, smoothing of the scattered data and estimation of speed and acceleration profiles are discussed and some solution proposed.",

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AB - At Lund University an automated video analysis system is being developed that can be applied for studying the behaviour of road users in complex traffic environments. It is stressed that system must be capable of handling all the categories of road users, i.e. vehicles, pedestrians and cyclists. Common problems like detection and tracking of moving objects, occlusion by foreground objects, ground-plane co-ordinates estimation, smoothing of the scattered data and estimation of speed and acceleration profiles are discussed and some solution proposed.

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M3 - Paper in conference proceeding

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Automated video analysis as a tool for analysing road user behaviour

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Ämnesklassifikation (UKÄ)

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