13 Result(s)
within
English
Computer Science
Image Processing and Computer Vision
Qing-**ang Wang
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Chapter and Conference Paper
An Epileptic Seizure Prediction Algorithm from Scalp EEG Based on Morphological Filter and Kolmogorov Complexity
Epilepsy is the most common neurological disorder in the world, second only to stroke. There are nearly 15 million patients suffer from refractory epilepsy, with no available therapy. Although most seizures ar...
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Chapter and Conference Paper
Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow
Background modeling and subtraction is a fundamental research topic in computer vision. Pixel-level background model uses a Gaussian mixture model (GMM) or kernel density estimation to represent the distributi...
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Chapter and Conference Paper
Determination of Focal Length for Targets Positioning with Binocular Stereo Vision
Targets positioning with binocular stereo vision has the potential of usage for surveillance on airdrome surface. This paper analyses the impact of focal length of a camera on the accuracy of positioning targe...
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Chapter and Conference Paper
A Stroke Width Based Parameter-Free Document Binarization Method
This paper presents a parameter-free document binarization method based on text characteristics. For a given stroke width, the text and background regions in binarized object regions are estimated with morphol...
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Chapter and Conference Paper
Improve Neural Network Using Saliency
In traditional neural networks for image classification, every input image pixel is treated the same way. However real human visual system tends pay more attention to what they really focus on. This paper prop...
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Article
Open AccessAccurate disparity estimation in light field using ground control points
The recent development of light field cameras has received growing interest, as their rich angular information has potential benefits for many computer vision tasks. In this paper, we introduce a novel method ...
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Chapter and Conference Paper
Face Recognition by Coarse-to-Fine Landmark Regression with Application to ATM Surveillance
While ATM provides us convenient banking services, it has great security risks. The authentication of only password requiring is not safe enough. With the rapid development of face recognition technology based...
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Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
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Chapter and Conference Paper
Research on Irrigation System of Limited Water Supply for Soybean Crops in Shanxi Province
The limited water supply irrigation system for soybean crops in Shanxi Province was studied. The irrigation data of Limin experimental station in Linfen City, Shanxi Province had been selected. Frequency calcu...
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Chapter and Conference Paper
Learning Contextual Features with Multi-head Self-attention for Fake News Detection
Automatic fake news detection has attracted great concern in recent years due to it’s tremendous negative impacts on public. Since fake news is usually written to mislead readers, lexical features based method...
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Article
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
The creation or manipulation of facial appearance through deep generative approaches, known as DeepFake, have achieved significant progress and promoted a wide range of benign and malicious applications, e.g., vi...
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Article
Open AccessTranslating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential
The large language model called ChatGPT has drawn extensively attention because of its human-like expression and reasoning abilities. In this study, we investigate the feasibility of using ChatGPT in experimen...
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Article
Open AccessJoint training with local soft attention and dual cross-neighbor label smoothing for unsupervised person re-identification
Existing unsupervised person re-identification approaches fail to fully capture the fine-grained features of local regions, which can result in people with similar appearances and different identities being as...
