Incorporating Saliency Map into Prediction of Drivers' Eye Fixations on Traffic Signs
Zhi Jian Xu, Hongzhi Guan, Hai Xia Yan · 2011
The prediction of fixation on traffic signs was conducted based on image characteristics. The fixation prediction model which is based on a model of visual attention was set up and improved through the process of Gaussian pyramid creation, visual feature extraction and conspicuity map generation, as well as the saliency map generation. The model was validated with the aid of an eye tracking system. Similarity and linear distance were selected as two indicators to evaluate the accuracy of model. The experimental results show that the model has a good accuracy on the prediction of traffic sign with both letters and symbols.