Moving Object Detection Based on Temporal-spatial Mixture Gaussian Background Model
Xiaojin Guo · Video Engineering · 2013
A temporal-spatial mixture Gaussian background model is proposed which overcome the standard GMM where each pix is only considered independently but ignoring the spatial domain correlation between neighboring pixels.Based on the temporal distribution model learned by Gaussian mixture model,self-information of neighboring pixels are clustering for background and foreground object to correct an error of judgment.Experimental results show that detected objects with the proposed is more completed,and has stronger robustness application prospects.