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Moving cast shadow suppression for vehicle detection

Authors: Haixiang Xu; Guangxi Zhu; Fuyuan Peng; Wei Ge; Lei Xie; Pingan Tao;

Moving cast shadow suppression for vehicle detection

Abstract

Vehicle detection is critical to traffic surveillance and management systems. In real outdoor daylight scenes, shadows cast by moving vehicles are often detected as a part of the moving vehicles since shadows move in accordance with the movement of vehicles, which will heavily affects accuracy of vehicle detection. In this paper, an algorithm is proposed to suppress the moving cast shadow for vehicle detection based on four properties of the moving cast shadow. Simulation results indicate that the proposed algorithm can effectively suppress moving cast shadows of input image, which helps to improve accuracy of vehicle detection.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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