Automatic vehicle detection and occlusion handling at road intersections

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Date

2015

Author

Ülker, Berk

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Vision based intelligent transport system applications are extensively utilized and researched in recent years. Several applications with tracking, classiﬁcation and counting functionalities are used for automatization of trafﬁc management. Work in this thesis aims to provide an accurate vehicle detection method for improving performance of these tasks. Vehicle detection starts with detection of moving objects, using a background subtraction algorithm. Then, accuracy of the foreground mask is improvedusingashadowdetectionalgorithm. Occlusionsaredetectedfrombothgeometrical properties of blobs in binary mask, and associations between objects from consecutive observations. A segmentation method based on the assumptions on objectgeometryunderocclusionisproposedandimplemented,todetectvehiclesunder occlusion correctly. Proposed solution is tested on several videos collected from different intersections. Results indicate a signiﬁcant improvement in performance compared to the existing methods in literature.

Subject Keywords

Vehicle detectors., Traffic engineering, Roads

URI

http://etd.lib.metu.edu.tr/upload/12619199/index.pdf
https://hdl.handle.net/11511/24882

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

B. Ülker, “Automatic vehicle detection and occlusion handling at road intersections,” M.S. - Master of Science, Middle East Technical University, 2015.