Combining eye fixation and context-directed saliency for attentive object segmentation
Yu-Bu Lee, KangWoo Lee · 2015
Techniques to identify an attentive object in an image, captured synchronously with an eye tracker, rely on the human fixations being inside the boundary of the object. However, eye tracking experiments show that fixations are often near, but outside an attentive object, when the viewer is not trying to place the fixations inside. If fixations occur outside an object boundary, it is difficult to segment it properly. We address this problem by correlating context-directed visual saliencies with eye fixations. Our model is based on prior specification of the weights applied to bottom-up saliency. Experiments on the meeting scenes indicate that our method achieves a detection rate of 95.6%.