Development of a biologically inspired real-time spatiotemporal visual attention system
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
Detection of static salient objects based on visual attention and edge features
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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Combining bottom-up and top-down attention influences, a novel region extraction model which based on object-accumulated visual attention mechanism is proposed in this paper. Compared with early research, the new approach brings in prior information at the proper time, updates scan path dynamically, needs less computational resources and reduces the probability to direct the attention to a less-meaning area. The application to search an airport target in remote sensing image was provided, through which the novel mechanism that how visual attention chose the area was described. Compared with another two region extraction models, experimental results confirm the effectiveness of the approach proposed in this paper.