Iterative Feedback Control-Based Salient Object Segmentation

作者：Huo, Shuwei; Zhou, Yuan^*; Lei, Jianjun; Ling, Nam; Hou, Chunping

来源：IEEE Transactions on Multimedia, 2018, 20(6): 1350-1364.

DOI：10.1109/TMM.2017.2769801

• Saliency detection
• linear control system
• boundary prior

In this paper, we establish a mathematical model that relates the control states and the saliency values in salient object detection. We show that a linear feedback control system (LFCS) is amenable to saliency detection tasks owing to its functional properties. This inspired us to employ an LFCS to detect salient objects in static images. Based on the novel iteration method, the system gradually converges to an optimized stable state, which is associated with an accurate saliency map. In addition, to initialize the system, we propose a so-called boundary homogeneity based on a priori knowledge of the boundary in order to estimate the background likelihood and indirectly obtain a foreground (saliency) map. The experimental results indicate that such a feedback control model can offer significant improvement in salient object detection performance.

• 出版日期2018-6
• 单位天津大学