Motion Detection using a Model of Visual Attention
Shijie Zhang, Fred W. M. Stentiford · 2007
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.