Generating vehicle trajectories from video data is an important application of ITS (intelligent transportation systems). We introduce a new tracking approach which uses model-based 3-D vehicle detection and description algorithm. Our vehicle detection and description algorithm is based on a probabilistic line feature grouping, and it is faster (by up to an order of magnitude) and more flexible than previous image-based algorithms. We present the system implementation and the vehicle detection and tracking results.
Fast vehicle detection with probabilistic feature grouping and its application to vehicle tracking
01.01.2003
759682 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Fast Vehicle Detection with Probabilistic Feature Grouping and its Application to Vehicle Tracking
British Library Conference Proceedings | 2003
|VEHICLE LOCATION TRACKING METHOD USING DYNAMIC VEHICLE GROUPING
Europäisches Patentamt | 2018
|VEHICLE LOCATION TRACKING METHOD USING DYNAMIC VEHICLE GROUPING
Europäisches Patentamt | 2018
|VEHICLE LOCATION TRACKING METHOD USING DYNAMIC VEHICLE GROUPING
Europäisches Patentamt | 2019
Robust Nighttime Vehicle Detection by Tracking and Grouping Headlights
Online Contents | 2015
|