The Image Process Based on Intelligent Transportation System

Wen Qian An; Xu Fang Bo; Chao Jia

doi:10.4028/www.scientific.net/AMR.945-949.1789

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949The Image Process Based on Intelligent...

The Image Process Based on Intelligent Transportation System

Abstract:

With the rapid development of China's automobile industry, intelligent transportation systems have become an important means of modern traffic management. The paper analyzes the prospects for detection of several sports: frame difference method, optical flow method and the background model, and compared the effects of several methods of detection, using a strong adaptability to disturbance Gaussian mixture background model to detect moving targets. Then the detected motion foreground image OTSU threshold, using morphological methods de-noising and holes filled, get a complete moving target. In this paper, the characteristics of the target shadow and existing methods are analyzed, using a shadow removal method based on color features.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

1789-1793

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.1789

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Online since:

June 2014

Authors:

Wen Qian An*, Xu Fang Bo, Chao Jia

Keywords:

Gaussian Model, Otsu, Shadow Removal

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* - Corresponding Author

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