Detection of static salient objects based on visual attention and edge features

Authors:
Hui Li;Yanjiang Wang;Weifeng Liu;Xiaomeng Wang
Affiliations:
China University of Petroleum (East China), Qingdao, P.R. China;China University of Petroleum (East China), Qingdao, P.R. China;China University of Petroleum (East China), Qingdao, P.R. China;China University of Petroleum (East China), Qingdao, P.R. China
Venue:
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Year:
2013

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Abstract

Object detection algorithm based on the traditional saliency map often has problems of unable to locate and extract static salient objects precisely, besides, the position located does not coincide with the actual size of the object. In order to solve these problems, an improved algorithm of static salient objects detection is proposed in this paper, which combines visual attention mechanism with the edge information. First, coarse detection is realized according to an improved saliency map, then fine detection is implemented through edge detection by wavelet transform. Finally, mathematical logic operations are performed on the above two saliency maps, thus making the location and extraction of the static salient objects more accurately than traditional methods. Experimental results demonstrate the efficacy of the proposed method.