Object of Interest Detection Technology in Natural Image
Jialin Cao · Jisuanji gongcheng · 2011
Saliency map based the Region of Interesting(ROI) detection often has the problems of not able to locate object of interesting accurately and that many interesting object can be detected on the same ROI.A new technique for detecting regions of interest in a natural image by using visual attention model and Fuzzy Support Vector Machine(FSVM) is proposed.A visual window including single object is created according to the visual attention and edge information based on distribution of corner points from an image.By using FSVM based on affinity among samples,it can extract single object in the visual window.Experimental results show that it coincides with human visual attention mechanism and demonstrate the effectiveness of the proposed approach.