Moving Shadow Detection Method Using Logistic Regression

Liu Yang; Jiang Yan Dai; Miao Qi; Qing Ji Guan

doi:10.4028/www.scientific.net/AMM.543-547.2724

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Moving Shadow Detection Method Using Logistic...

Moving Shadow Detection Method Using Logistic Regression

Abstract:

We present a novel moving shadow detection method using logistic regression in this paper. First, several types of features are extracted from pixels in foreground images. Second, the logistic regression model is constructed by random pixels selected from video frames. Finally, for a new frame in one video, we take advantage of the constructed regression model to implement the classification of moving shadows and objects. To verify the performance of the proposed method, we test it on several different surveillance scenes and compare it with some well-known methods. Extensive experimental results indicate that the proposed method not only can separate moving shadows from moving objects accurately, but also is superior to several existing methods.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2724-2727

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2724

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Online since:

March 2014

Authors:

Liu Yang*, Jiang Yan Dai, Miao Qi, Qing Ji Guan

Keywords:

Logistic Regression, Shadow Detection, Surveillance

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* - Corresponding Author

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