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Driver distraction has been identified as one major cause of unsafe driving. The existing studies on cognitive distraction detection mainly focused on high-speed driving situations, but less on low-speed traffic in urban driving. This paper presents a method for the detection of driver cognitive distraction at stop-controlled intersections and compares its feature subsets and classification accuracy...
Breast cancer has caused more and more attention in recent years since the mortality rate is increasing and age of onset is trend to be younger than before. Using computer vision technology for automatic classifying benign and masses malignant ones could assist doctors in diagnosing condition. However, the margins and shapes of masses are various and which are very similar with surrounding tissues,...
In cartographic symbology, the evaluation of a symbol set's visual similarity is an important and frequently required task. Usually, after a set of map symbols are designed, the visual similarity of symbols need to be manually examined. To fully automate this task, in this paper, we propose two approaches based on entropy calculated on SOM surface for quantifying and visualizing the visual similarities...
Painting collections from the old masters are valuable cultural heritage of human history. Their artistic styles can be generally determined by their art periods. From analyzing and visualizing the relationships of different artistic styles, information can be found to facilitate art history studies. In this paper, we propose a Self-organizing Map (SOM) based framework specifically for analyzing and...
In the past, various problems in art imaging such as painter identification, painting image classification and retrieval were successfully solved by computer vision. However, very few works focused on analyzing the relationships among paintings of different artists. In this paper, we first define a set of image features in terms of abstract artistic concepts on colour and composition. Using extracted...
Traditional image retrieval depends on the images embedded in text messages, text description of the limitations of image content, resulting in low quality of image retrieval. The local information extracted image itself, the use of local features LSH image matching algorithm, memory requirements has led to a linear growth. To overcome these shortcomings, then propose the method of image retrieval...
In this paper, a functional interface between brain and central pattern generator (CPG) is designed in an engineering perspective, which may serve in a human-machine system. Steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) is used to recognize five types of intention related to human walking. After feature extraction, classification and command translation on electroencephalography...
For integrating web databases, the very first challenge is to understand what a query interface says or what query capabilities a source supports. From the view of people, the interior structure of web pages is not concerned to for people. In the most cases, semantic block is identified via visual elements. Therefore, in this paper, a novel arithmetic of schema extraction based on visual features...
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