31 Result(s)
within
Computer Science
Image Processing and Computer Vision
**-Peng Li
Article
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Article
Open Access3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers
A major challenge in applying Bayesian tracking methods for tracking 3D human body pose is the high dimensionality of the pose state space. It has been observed that the 3D human body pose parameters typically...
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Article
A low-complexity data-adaptive approach for premature ventricular contraction recognition
Premature ventricular contraction (PVC) may lead to life-threatening cardiac conditions. Real-time automated PVC recognition approaches provide clinicians the useful tools for timely diagnosis if dangerous con...
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Article
A novel hybridization of echo state networks and multiplicative seasonal ARIMA model for mobile communication traffic series forecasting
For mobile communication traffic series, an accurate multistep prediction result plays an important role in network management, capacity planning, traffic congestion control, channel equalization, etc. A novel...
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Article
Detail-generating geometry completion for point-sampled geometry
In this paper, we present a novel method for detail-generating geometry completion over point-sampled geometry. The main idea consists of converting the context-based geometry completion into the detail-based ...
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Article
Active contour evolved by joint probability classification on Riemannian manifold
In this paper, we present an active contour model for image segmentation based on a nonparametric distribution metric without any intensity a priori of the image. A novel nonparametric distance metric, which i...
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Article
Facial age estimation by using stacked feature composition and selection
In this paper we propose a novel hierarchical feature composition and selection model used in facial age estimation. In recent years, hierarchical architectures have been shown to outperform the flat structure...
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Article
Accelerated image factorization based on improved NMF algorithm
Non-negative matrix factorization (NMF) is widely used in feature extraction and dimension reduction fields. Essentially, it is an optimization problem to determine two non-negative low rank matrices ...
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A code division multiplexing and block classification-based real-time reversible data-hiding algorithm for medical images
This paper proposes a novel reversible data hiding (RDH) scheme for medical image based on block classification and code division multiplexing (CDM) in frequency domain. In this scheme, the original medical im...
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Research on radar signal recognition based on automatic machine learning
With the advancement of machine learning and radar technology, machine learning is becoming more and more widely used in the field of radar. Radar scanning, signal acquisition and processing, one-dimensional r...
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Open AccessA survey on deep geometry learning: From a representation perspective
Researchers have achieved great success in dealing with 2D images using deep learning. In recent years, 3D computer vision and geometry deep learning have gained ever more attention. Many advanced techniques f...
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Article
Prescribed-time convergent and noise-tolerant Z-type neural dynamics for calculating time-dependent quadratic programming
Neural-dynamics methods for solving quadratic programming (QP) have been studied for decades. The main feature of a neural-dynamics solver is that it can generate a continuous path from the initial point, and ...
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Article
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation
To satisfy the stringent requirements for computational resources in the field of real-time semantic segmentation, most approaches focus on the hand-crafted design of light-weight segmentation networks. To enj...
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A dedicated hardware accelerator for real-time acceleration of YOLOv2
In recent years, dedicated hardware accelerators for the acceleration of the convolutional neural network (CNN) have been extensively studied. Although many studies have presented efficient designs on FPGAs fo...
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Article
Embedded real-time infrared and visible image fusion for UAV surveillance
Infrared and visible image fusion is a beneficial processing task for Unmanned Aerial Vehicle (UAV) surveillance, which can improve visibility by combining the advantages of the infrared camera and the visible...
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Article
Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification
In this paper, a hierarchical learning algorithm based on the Bayesian Neural Network classifier with backtracking is proposed to support large-scale image classification, where a Visual Confusion Label Tree i...
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Open AccessAn evolving ensemble model of multi-stream convolutional neural networks for human action recognition in still images
Still image human action recognition (HAR) is a challenging problem owing to limited sources of information and large intra-class and small inter-class variations which requires highly discriminative features....
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Article
HF-SRGR: a new hybrid feature-driven social relation graph reasoning model
Social relations and interactions between persons form the foundation of human society. Effective recognition of social relationships has great potential for understanding and improving people’s psychology and...
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Article
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation
Semantic segmentation is a popular research topic in computer vision, and many efforts have been made on it with impressive results. In this paper, we intend to search an optimal network structure that can run...
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Visible-infrared person re-identification model based on feature consistency and modal indistinguishability
Visible-infrared person re-identification (VI-ReID) is used to search person images across cameras under different modalities, which can address the limitation of visible-based ReID in dark environments. Intra...
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Article
C3N: content-constrained convolutional network for mural image completion
Ancient murals, suffering from severe diseases, usually exhibit the absence or distortion of local areas. The damaged murals severely impaired people’s visual appreciation and satisfaction in the digital conse...
