Segmenting specific object based on logo detection

Fanman Meng, Hongliang Li, Guanghui Liu

Abstract: This paper proposes a method to segment object with logos. In the method, we firstly locate the logos by SIFT matching. Then, the object boundary is extracted based on the logo location. Finally, we model the object prior based on the boundary, and introduce the prior into Markov random field segmentation method to segment the object. To verify the proposed method, we collect a logo dataset from the web such as Flickr and Google. The experimental results demonstrate the effectiveness of the proposed method.