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Chapter and Conference Paper
Research on Virtual and Real Spatial Data Interconnection Map** Technology for Digital Twin
In recent years, distributed photovoltaics, decentralized wind power, new loads, electric vehicles, etc. have been connected to the power grid in a wide range, and the distribution network has become more acti...
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Chapter and Conference Paper
Research on Application Technology of Multi-source Fusion of 3D Digital Resources in Power Grid
In view of the technical requirements of 3D model resource fusion in power grid infrastructure and operation and inspection, this paper studies the spatial transformation of multi-media heterogeneous models, p...
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Chapter and Conference Paper
A Method for Precise Positioning and Rapid Correction of Blue License Plate
To alleviate the problems of slow speed and weak correction ability of existing license plate correction methods under complex conditions, this paper presents a faster license plate positioning method based on...
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Chapter and Conference Paper
Anomaly Detection with Passive Aggressive Online Gaussian Model Estimation
Anomaly detection is an important topic for surveillance video analysis and public security management. One of the major challenges comes from the fact that there is no abnormal data for training in most cases...
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Chapter and Conference Paper
Visual Tracking by Deep Discriminative Map
Deep neural networks which widely used in image classification and speech recognition have been successfully applied to model-free object tracking. However, during tracking, it easily falls into over-fitting p...
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Chapter and Conference Paper
A Data Grou** CNN Algorithm for Short-Term Traffic Flow Forecasting
In this paper, a data grou** approach based on convolutional neural network (DGCNN) is proposed for forecasting urban short-term traffic flow. This approach includes the consideration of spatial relations be...
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Chapter and Conference Paper
Reversible Image Data Hiding with Local Adaptive Contrast Enhancement
Recently, a novel reversible data hiding scheme is proposed for contrast enhancement by Wu (IEEE Signal Process Lett 22.1:81–85, 2015). Instead of pursuing the traditional high PSNR value, he designs the message ...
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Chapter and Conference Paper
Semi-supervised Learning for Human Pose Recognition with RGB-D Light-Model
This work targets human pose recognition based on RGB-D videos. In recently, RGB-D based methods can be typically represented as either maps-based approaches or skeleton-based approaches. This paper proposes a...
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Chapter and Conference Paper
Multi-target Tracking via Max-Entropy Target Selection and Heterogeneous Camera Fusion
Nowadays, dual-camera systems, which consist of a static camera and a pan-tilt-zoom (PTZ) camera, have become popular in video surveillance, since they can offer wide area coverage and highly detailed images o...
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Chapter and Conference Paper
Regularized Semi-supervised Latent Dirichlet Allocation for Visual Concept Learning
Topic models are a popular tool for visual concept learning. Current topic models are either unsupervised or fully supervised. Although lots of labeled images can significantly improve the performance of topic...
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Chapter and Conference Paper
Capacity-Approaching Codes for Reversible Data Hiding
By reversible data hiding, the original cover can be losslessly restored after the embedded information is extracted. Kalker and Willems established a rate-distortion model for reversible data hiding, in which...
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Chapter and Conference Paper
Soft-Constraint Based Online LDA for Community Recommendation
With the number of social communities grows, social community recommendation has gradually become a critical technique for users to efficiently find their favorite communities. Currently a variety of recommend...
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Chapter and Conference Paper
A Novel Visual Speech Representation and HMM Classification for Visual Speech Recognition
This paper presents the development of a novel visual speech recognition (VSR) system based on a new representation that extends the standard viseme concept (that is referred in this paper to as Visual Speech ...
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Chapter and Conference Paper
In-Network Join Processing for Sensor Networks
Recent advances in hardware and wireless technologies have led to sensor networks consisting of large number of sensors capable of gathering and processing data collectively. Query processing on these sensor n...
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Chapter and Conference Paper
Accurate 3D Facial Synthesis for Plastic Surgery Simulation
3D facial synthesis has been an intensive research topic in both image processing and computer graphics. So far common facial synthesizing methods were either statistic model based or laser range scanner (LRS)...
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Chapter and Conference Paper
Face Recognition Using Neighborhood Preserving Projections
Subspace learning is one of the main directions for face recognition. In this paper, a novel unsupervised subspace learning method, Neighborhood Preserving Projections (NPP), is proposed. In contrast to tradition...