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Traffic data collection from aerial imagery
This paper describes a new data collection system prototype for determining individual vehicle trajectories from sequences of digital aerial images. The software was tested on data collected from a helicopter, using a digital camera gathering high-resolution monochrome images. From the test, it is concluded that the techniques for analyzing the digital images can be applied automatically without much problems: 98% of the vehicles could be detected and tracked automatically when conditions were reasonable; this number lowered to 90% after the weather conditions worsened. This percentage will increase substantially under better weather conditions. Furthermore, equipment stabilizing the camera-so-called gyroscopic mounting-and the use of color images can be applied to further improve the system.
Traffic data collection from aerial imagery
This paper describes a new data collection system prototype for determining individual vehicle trajectories from sequences of digital aerial images. The software was tested on data collected from a helicopter, using a digital camera gathering high-resolution monochrome images. From the test, it is concluded that the techniques for analyzing the digital images can be applied automatically without much problems: 98% of the vehicles could be detected and tracked automatically when conditions were reasonable; this number lowered to 90% after the weather conditions worsened. This percentage will increase substantially under better weather conditions. Furthermore, equipment stabilizing the camera-so-called gyroscopic mounting-and the use of color images can be applied to further improve the system.
Traffic data collection from aerial imagery
Schreuder, M. (Autor:in) / Hoogendoorn, S.P. (Autor:in) / Van Zulyen, H.J. (Autor:in) / Gorte, B. (Autor:in) / Vosselman, G. (Autor:in)
01.01.2003
502930 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Traffic Data Collection from Aerial Imagery
British Library Conference Proceedings | 2003
|British Library Online Contents | 2017
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