Video Vehicle Detection Based on Local Feature

Zhi Ming Qian; Hong Xing Shi; Jia Kuan Yang

doi:10.4028/www.scientific.net/AMR.186.56

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 186Video Vehicle Detection Based on Local Feature

Video Vehicle Detection Based on Local Feature

Abstract:

This paper presents a video vehicle detection method that combines local binary pattern (LBP) and motion histogram. First, use LBP modeling and updating the background in video image. Second, detect the video vehicles by means of the motion histogram. Finally, eliminates shadows from the detected vehicle region, and improves accuracy of vehicle detection. Experiments in some vehicle database show that our method has a better performance.

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Periodical:

Advanced Materials Research (Volume 186)

Pages:

56-60

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.186.56

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Online since:

January 2011

Authors:

Zhi Ming Qian, Hong Xing Shi, Jia Kuan Yang

Keywords:

Local Feature, Motion Histogram, Vehicle Detection

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References

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