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3D Vehicle Extraction and Tracking from Multiple Viewpoints for Traffic Monitoring by using Probability Fusion Map
2008
ELCVIA Electronic Letters on Computer Vision and Image Analysis
Preserved Fulltext
This paper presents a novel solution of vehicle occlusion and 3D measurement for traffic monitoring by data fusion from multiple stationary cameras. Comparing with single camera based conventional methods in traffic monitoring, our approach fuses video data from different viewpoints into a common probability fusion map (PFM) and extracts targets. The proposed PFM concept is efficient to handle and fuse data in order to estimate the probability of vehicle appearance, which is verified to be more
doi:10.5565/rev/elcvia.178
fatcat:sokwwzeue5emfg6kwajvcithdi