Moving Shadow Detection Algorithm Based on ICA Feature
Runsheng Wang · Jisuanji gongcheng · 2011
Moving cast shadows generally exist in video sequence.To prevent moving shadows being misclassified as moving objects or parts of moving objects,it is critical to improve the accuracy of shadows detection algorithm.On the basis of the theory and principle of Independent Component Analysis(ICA),this paper presents an algorithm for detecting moving cast shadows based on ICA transformation.An adaptive background is generated by building Gaussian mixture background model,and it extracts the feature using ICA-based transformation.The moving cast shadows are detected utilizing the space coordinate of shadow and object pixels.Experimental results show that the proposed algorithm is robust to noise,relieves influence of illumination change and can detect moving shadows correctly.