Abstract
For traditional imagery attention model, the extraction of the bottom-up visual attention information of each channel is not thinking about the disadvantages of top-down task. A top-down guidance based feature vector weighted integration strategy is designed and implemented to compare the multi-feature-channel features of the target and the whole image. Based on the strategy, the weight of each feature channel in integration and the different map between the target and each image can be calculated to guide the generation of saliency map. A new method of target region detection based on multi-channel weighted visual attention is proposed to provide a calculation mechanism for quick location on images. The experimental results indicate that the method proposed in paper can search and lock the region more quickly which the target is most likely exist, and improve the efficiency of target searching.
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