Approach to waymark detection based on visual attention mechanism
基于视觉注意机制的交通路标检测方法

This paper proposed a new approach to waymark detection based on visual attention mechanism. This approach introduced the bottom-up human visual attention model after the image grey scale transformation, extracted low-level features of the image and constructed the saliency map. According to the whole saliency map, it detected the salient regions in an image, fixed the location of waymark in an image. The experimental results on multiple real-time traffic images demonstrate this approach can adapt to the test in an outdoor natural environment and be of high accuracy and real-time.