视觉注意的图像目标预检测

提出了融合自底向上和自顶向下模式的视觉注意机制的改进算法.该算法使用以完整轮廓信息作为物体识别标志的方式,几乎不需要先验知识,改进了自顶向下算法的需要大量先验知识的弱点;同时由于将物体轮廓作为的一个识别和预检测的重要参考信息,改进原视觉机制中的仅使用三个显著图,没有整体意识,从而致使识别范围过大的弱点.实验证明该方法提升了搜索预检测目标的准确度.

Target pre-detection based on visual attention

An improved integration model combining the bottom-up and top-down cues for visual attention is proposed.It uses an integrated outline as the symbol for object recognition and overcomes the shortcomings of the top-down visual attention method that needs excessive a priori knowledge.Furthermore,adopting the object outline as the main character for recognition and pre-detection also overcomes the drawbacks existing in the bottom-up visual attention model that only uses three saliency maps from the original pi...