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近日,国际智能交通领域的学术期刊《IEEE Transactions on Intelligent Transportation Systems》在线发表了由长安大学运输工程学院房建武副教授、硕士生严定鑫等共同完成的学术论文:“事故场景中的驾驶注意预测”(DADA: Driver Attention Prediction in Driving Accident Scenarios,DOI:10.1...
Reliably ship detection in optical satellite images has a wide application in both military and civil fields. However, this problem is very difficult in complex backgrounds, such as waves, clouds, and...
In this paper, we propose a computational model which is capable of emulating the expert’s bottom-up attention to remote sensing images. The bottom-up visual attention is a relatively primary step in ...
Background: During fetal and perinatal periods, many nutrients, such as long-chain polyunsaturated fatty acids [contained in fish oil (FO)] and folate, are important in achieving normal brain developm...
A model of gaze control is describes that includes mechanisms for predictive control using a forward model and event driven expectations of target behavior. The model roughly undergoes stages similar ...
Changes made during a brief visual interruption sometimes go undetected, even when the object undergoing the change is at the center of the observer's interest and spatial attention (Simons & Levin,...
Attention acts, through cortical feedback pathways, to enhance the response of cells encoding expected or predicted information. Such observations are inconsistent with the predictive coding theory of...
This paper proposes a novel face recognitionalgorithm inspired by the selective attention of Human VisualSystem (HVS). We record four observers’ eye movements whenthey are viewing 100 FRGC [1] frontal...
Psychophysical findings have shown that human vision system has an ability to improve target search by enhancing the representation of image components that are related to the searched target, which ...
In this paper, we make some analysis on the FitzHugh-Nagumo model and improve it to build a neural network, and the network is used to implement visual selection and attention shifting. Each group of ...
This paper presents a robust video fingerprinting based on visual attention regions. Video fingerprints, which are a set of short feature vectors, are unique to video clips and used for video identif...
In this paper, we propose an attention based method to provide convenient browsing experience on mobile devices. To achieve this, we extract video summary in both temporal and spatial domains. Firstly...
This paper presents a robust video fingerprinting based on visual attention regions. Video fingerprints, which are a set of short feature vectors, are unique to video clips and used for video identifi...

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