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rdf:type
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Description
| - This paper deals with automatic calibration of roadside surveillance cameras. We focus on parameters necessary for measurements in traffic surveillance applications. Contrary to the existing solutions, our approach requires no a priori knowledge and it works with a very wide variety of road settings (number of lanes, occlusion, quality of ground marking), and with practically unlimited viewing angles. The main contribution is that our solution works fully automatically - without any per-camera or per-video manual settings or input whatsoever - and it is computationally cheap. Our approach uses tracking of local feature points and analyzes the trajectories in a manner based on Cascaded Hough Transform and parallel coordinates. An important assumption for the vehicle movement is that at least a part of the vehicle motion is approximately straight -- we discuss the impact of this assumption on the applicability of our approach and show experimentally, that this assumption does not limit the u
- This paper deals with automatic calibration of roadside surveillance cameras. We focus on parameters necessary for measurements in traffic surveillance applications. Contrary to the existing solutions, our approach requires no a priori knowledge and it works with a very wide variety of road settings (number of lanes, occlusion, quality of ground marking), and with practically unlimited viewing angles. The main contribution is that our solution works fully automatically - without any per-camera or per-video manual settings or input whatsoever - and it is computationally cheap. Our approach uses tracking of local feature points and analyzes the trajectories in a manner based on Cascaded Hough Transform and parallel coordinates. An important assumption for the vehicle movement is that at least a part of the vehicle motion is approximately straight -- we discuss the impact of this assumption on the applicability of our approach and show experimentally, that this assumption does not limit the u (en)
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Title
| - Fully Automatic Roadside Camera Calibration for Traffic Surveillance
- Fully Automatic Roadside Camera Calibration for Traffic Surveillance (en)
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skos:prefLabel
| - Fully Automatic Roadside Camera Calibration for Traffic Surveillance
- Fully Automatic Roadside Camera Calibration for Traffic Surveillance (en)
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skos:notation
| - RIV/00216305:26230/14:PU112005!RIV15-MSM-26230___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(ED1.1.00/02.0070), P(TE01020415), S
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26230/14:PU112005
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Hough Transform, Camera Calibration, Diamond Space, Roadside Data (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
| - US - Spojené státy americké
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
| - IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Herout, Adam
- Juránek, Roman
- Dubská, Markéta
- Sochor, Jakub
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issn
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number of pages
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http://bibframe.org/vocab/doi
| - 10.1109/TITS.2014.2352854
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http://localhost/t...ganizacniJednotka
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