Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Vehicle recognition based on spatio-temporal image analysis
It is important to assess street-parked vehicles causing traffic problems in urban areas. However, it is performed manually and at high cost. It is a top priority for reducing cost, to develop a detection system of those vehicles. We propose a detection method using a line-scan camera mounted on probe vehicles. The method is based on two kinds of epipolar-plane image analysis; one is edge-based algorithm and the other is region-based algorithm. Both algorithms are fused to achieve higher reliability. As a result of experiments in roads, a detection rate reached 96%.
Vehicle recognition based on spatio-temporal image analysis
It is important to assess street-parked vehicles causing traffic problems in urban areas. However, it is performed manually and at high cost. It is a top priority for reducing cost, to develop a detection system of those vehicles. We propose a detection method using a line-scan camera mounted on probe vehicles. The method is based on two kinds of epipolar-plane image analysis; one is edge-based algorithm and the other is region-based algorithm. Both algorithms are fused to achieve higher reliability. As a result of experiments in roads, a detection rate reached 96%.
Vehicle recognition based on spatio-temporal image analysis
Hirahara, K. (Autor:in) / Ikeuchi, K. (Autor:in)
01.01.2004
504654 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Advances in Spatio-Temporal Analysis
Online Contents | 2009
|Vehicle Travel Time Prediction in Spatio-Temporal Space
British Library Conference Proceedings | 2013
|An Intelligent Framework for Spatio-Temporal Vehicle Tracking
British Library Conference Proceedings | 2001
|An image warping approach to spatio-temporal modelling
Online Contents | 2005
|