Saliency Detection: A Boolean Map Approach

Jianming Zhang, Stan Sclaroff
2013 2013 IEEE International Conference on Computer Vision  
A novel Boolean Map based Saliency (BMS) model is proposed. An image is characterized by a set of binary images, which are generated by randomly thresholding the image's color channels. Based on a Gestalt principle of figure-ground segregation, BMS computes saliency maps by analyzing the topological structure of Boolean maps. BMS is simple to implement and efficient to run. Despite its simplicity, BMS consistently achieves state-of-the-art performance compared with ten leading methods on five
more » ... e tracking datasets. Furthermore, BMS is also shown to be advantageous in salient object detection.
doi:10.1109/iccv.2013.26 dblp:conf/iccv/ZhangS13 fatcat:ibjml6c6ovfjrm6qgypmi63z4y