A novel method for generation of motion saliency

Motion saliency is the key component for the video saliency model, and attracts great research interest. However, there is few universal predictor of motion saliency. In this paper, a novel method for generation of motion saliency is proposed, in which motion saliency map is obtained through the multi reference frames, and enhanced by spatial saliency information. The proposal can obtain more detailed information about motion feature and extract the salient object more integrally. The experiment results shows that our proposal can achieve 95.4% of the ROC area of a human based control in motion channel, whereas the classical Itti's model achieves 78.5%.