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XIANG Guishan
WANG Xuanyin
LIANG Dongtai
State Key Laboratory of Fluid Power
Transmission and Control,
Zhejiang University,
Hangzhou 310027, China
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BACKGROUND RECONSTRUCTION
AND OBJECT EXTRACTION BASED
ON COLOR AND OBJECT TRACKING*
Abstract:
In YCbCr
colorspace, a method is proposed to reconstruct the background and extract moving objects based on the Gaussian model of chroma components. Background model is updated according to changes of chroma components. In order to eliminate the disturbance of shadow, a shadow detecting principle is proposed in YCbCr
colorspace. A Kalman filter is introduced to estimate objects’ positions in the image and then the pedestrian is tracked according to its information of shape. Experiments show that the background reconstruction and updating are successful, object extraction and shadow suppression are satisfactory, and real-time and reliable tracking is realized.
Key words:
YCbCr
colorspace Background reconstruction Shadow detecting Object tracking |