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| A Dynamic Background Modeling Based on Weighted Histogram |
| CHU Jun, YANG Fan, WANG Lu, ZHU Tao |
| Institute of Computer Vision, Nanchang Hangkong University, Nanchang 330063 |
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Abstract The illumination variation, waving trees, rippling water and noise are the main problems for the establishing of background model of dynamic scene. Aiming at the problems, a dynamic background modeling method is proposed based on the weighted histogram. In the proposed method, a weighted histogram is firstly defined by fusing the local spatial correlation of the image sequence, and it is regarded as a feature to represent the dynamic scene. Then, a simple clustering criterion for weighted histogram is proposed, which is used to cluster features by calculating luminance and chrominance components of the weighted histogram separately. Compared with the MOG(Mixture Of Gaussians), SCBM(Standard Codebook Model), HSVCBM(HSV CodeBook Model)and WHM(Weighted Histogram Model), the experimental results on several standard test video sequences show that the proposed method has better adaptability to the dynamic scene.
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Received: 13 June 2013
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2015, Vol. 28 
