1 January 1998 Locating and recognizing road vehicles
Tieniu Tan
Author Affiliations +
This paper concerns model-based vision for road traffic scene analysis. A traffic vision system is described. The three main modules of the system are movement detection, vehicle localization and discrimination, and vehicle tracking. This paper outlines our work on the localization and discrimination module. Emphasis is on recovering 3-D poses of road vehicles in given image regions. Two classes of algorithms are described, one based on symbolic image features (line segments), and the other simply on image intensity gradients. A priori knowledge about traffic scenes and vehicles is exploited to improve the performance and efficiency of the algorithms. The algorithms are tested extensively with routine outdoor traffic images, and examples are included to demonstrate their principles.
Tieniu Tan "Locating and recognizing road vehicles," Optical Engineering 37(1), (1 January 1998). https://doi.org/10.1117/1.601607
Published: 1 January 1998
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications and 4 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

3D modeling

Roads

Data modeling

Image processing algorithms and systems

Cameras

Detection and tracking algorithms

RELATED CONTENT

Model-based tracking of deformable filaments
Proceedings of SPIE (February 01 1992)
Model-Based Vision: Using Cues To Select Hypotheses
Proceedings of SPIE (November 17 1986)
Vision-based road detection by hidden Markov model
Proceedings of SPIE (July 10 2009)
Model-based tracking using a real-time laser rangefinder
Proceedings of SPIE (November 29 1993)
Model-based matching using elliptical features
Proceedings of SPIE (May 24 1996)

Back to Top