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
2003-01-01
759682 byte
Conference paper
Electronic Resource
English
Fast Vehicle Detection with Probabilistic Feature Grouping and its Application to Vehicle Tracking
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