中国光学Issue(5)：768-774,7.DOI:10.3788/CO.20150805.0768
图像序列的显著性目标区域检测方法
A saliency target area detection method of image sequence
摘要
Abstract
For the lack of top-down task guidance and dynamic information processing of traditional visual sali-ency model, a visual saliency model fused with the motion features is designed and implemented.The static features and motion features are extracted based on the proposed model.The static features are extracted from the intensity, color and orientation channel of the current frame image.The motion features are extracted based on the multi-scales difference method.The saliency maps of four channels can be obtained by filtering and difference.Based on the proposed model a method of parameter estimation for multi channel is proposed to calculate the similarity between the region of interesting of current image and the region of interesting of eyes movement, then guide to generate the global saliency map, which can provide a calculation mechanism for ac-curate location on images.20 groups of video image sequences(50 images per group) are selected for the ex-periment.Experimental results show that the average similarity of focus of attention is 0.87.The proposed method can more efficiently and accurately locate the region where the searched target may be present and can improve the efficiency of target searching.关键词
视觉显著性/自顶向下/目标区域检测/显著图Key words
visual saliency/top-down/target area detection/saliency map分类
信息技术与安全科学引用本文复制引用
柯洪昌,孙宏彬..图像序列的显著性目标区域检测方法[J].中国光学,2015,(5):768-774,7.基金项目
国家高技术研究发展计划（863计划）资助项目（ No．2012AA040104）；吉林省科技厅资助项目（ No．20120332）；吉林省发改委资助项目（No．2013C048）；吉林省科技厅国际合作资助项目（No．20140105）；吉林省教育厅资助项目 （）
