Motion Detection using a Model of Visual Attention

Motion detection and estimation are known to be important in many automated surveillance systems. It has drawn significant research interest in the field of computer vision. This paper proposes a novel approach to motion detection and estimation based on visual attention. The method uses two different thresholding techniques and comparisons are made with black's motion estimation technique [1] based on the measure of overall derived tracking angle. The method is illustrated on various video data on and results show that the new method can extract motion information.

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