Space-time spectral model for object detection in dynamic textured background

作者：Ali Imtiaz^*; Mille Julien; Tougne Laure

来源：Pattern Recognition Letters, 2012, 33(13): 1710-1716.

DOI：10.1016/j.patrec.2012.06.011

• Background model
• Local Fourier transform
• Dynamic texture
• Object detection

Background models are used for object detection in many computer vision algorithms. In this article, we propose a novel background modeling method based on frequency for spatially varying and time repetitive textured background. The local Fourier transform is applied to construct a pixel-wise representation of local frequency components. We apply our method for object detection in moving background conditions. Experimental results of our frequency-based background model are evaluated both qualitatively and quantitatively.

• 出版日期2012-10-1