Object detection via optical information and background information
Xian Sun, Songhao Zhu, Yanyun Cheng · 2017
This paper presents a novel method to detect salient objects by exploiting the optical information and background information. Specifically, each video image is first segmented into superpixels; then, the optical information and color information is utilized to obtain the initial result of each salient object; finally, the accurate result of each salient object is obtained by taking into consideration the background information. Experimental results conducted on the SegTrackv2 database demonstrate the the effectiveness of the proposed method.