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With the big success of deep convolutional neural networks (CNN) in image classification task, many proposal based networks are proposed to detect given objects in an image. Faster R-CNN is such a network that uses a region proposal network (RPN) to generate nearly cost-free region proposals, which has shown excellent performance in ILSVRC and MS COCO datasets. However, Faster R-CNN does not behave...
The study of Web user profiling can be traced back to 30 years ago, with the goal of extracting “semantic”-based user profile attributes from the unstructured Web. Despite slight differences, the general method is to first identify relevant pages of a specific user and then use machine learning models (e.g., CRFs) to extract the profile attributes from the page. However, with the rapid growth of the...
Understanding the essential emotions behind social images is of vital importance: it can benefit many applications such as image retrieval and personalized recommendation. While previous related research mostly focuses on the image visual features, in this paper, we aim to tackle this problem by “linking inferring with users' demographics”. Specifically, we propose a partially-labeled factor graph...
We present an object recognition system which leverages the additional sensing and calibration information available in a robotics setting together with large amounts of training data to build high fidelity object models for a dataset of textured household objects. We then demonstrate how these models can be used for highly accurate detection and pose estimation in an end-to-end robotic perception...
This paper proposes a driver fatigue eye features detection algorithm based on OpenCV image processing and computer vision development platform. This algorithm localizes eye-area and detects its state based on rough to accurate thought, and can localize eye pupils in eye-open state accurately, which has significance to decrease traffic accidents. The experiment shows this algorithm can detect drivers'...
Spectrum sensing is a key technology of cognitive radio (CR). In CR systems, the main requirement of spectrum sensing is the ability of rapid and accurate detection of the presence of the primary user. In this paper, we propose a spectrum sensing method using artificial neural network (ANN). Detailed analysis shows that the proposed scheme is appropriate to detect the signals under considerably low...
This paper proposes a method of driver fatigue detection based on eye features - utilizing frame-difference projection to localize right and left boundaries of the face, then horizontal gray projection curve to localize approximate horizontal position of the eyes, and third, template matching to get the accurate eye position of the initial frame. After reliable localization of it, use dynamic template...
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