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Development of Historical Database for SF6 Extra High Voltage Circuit Breaker Intelligent Monitoring System

Development of Historical Database for SF6 Extra High Voltag...

引用

IEEE International Conference on Information and Automation (ICIA)

作者： Zhao, Dezheng Li, En Yang, Degang Liang, Zize Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China

ISBN: (纸本)9781479913343

Considering the importance of the SF6 extra high voltage circuit breakers in the power supply system, an intelligent monitoring system is developed. And a historical database system is designed for this monitoring system in this article. This historical database can store and manage such information as historical data, historical fault information, report and device information, etc. Furthermore, there is a simple device expert database in this historical database developed to assist fault detect. The SQLite, a lightweight relational database, is adopted as the backend database in this historical database system. According to the specific requirements of the actual application for monitoring task, the Entity-Relationship model is designed. Application experiments in the actual working environment reveal that this historical database system can well accomplish the information storage and management work and completely meet the requirements of the intelligent monitoring system.

关键词： extra high voltage circuit breaker monitoring system historical database SQLite Entity-Relationship model

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Shape Manifold Regression with Spherical Harmonics for Hippocampus Shape Analysis

Shape Manifold Regression with Spherical Harmonics for Hippo...

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Conference on Medical Imaging - Image Processing

作者： Chen, Xuejiao Li, Wenjing Hua, Jing Zhang, Xiaopeng He, Huiguang Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China

ISBN: (纸本)9780819494436

Shape regression analysis is a powerful tool to study local shape changes as a function of an independent regressor variable. In this paper, we introduce spherical harmonic(SPHARM) representation to surface manifold learning and shape regression. Here, we use root mean square distance(RMSD) to measure the deformation degree of the surface, and find out that the hippocampus' deformation degree is increased over age. We also investigate the particular changing area, and discover that the hippocampus have significant changes in the frontal area and tail area, especially in CA1 subfield.

关键词： Shape regression kernel regression SPHARM

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3D Modeling of Coronary Arteries Based on Tubular-Enhanced CURVES Segmented Regions for Robotic Surgical Simulation

3D Modeling of Coronary Arteries Based on Tubular-Enhanced C...

引用

IEEE International Conference on Robotics and Biomimetics (ROBIO)

作者： Yang, Fan Hou, Zeng-Guang Mi, Shao-Hua Bian, Gui-Bin Xie, Xiao-Liang Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China

ISBN: (纸本)9781479927449

The visualization of the coronary vasculature is of utmost importance in interventional cardiology. Intravascular surgical robots assist the practitioners to perform the complex procedure while protecting them from the tremendous occupational hazards. Robotic surgical simulation aims to provide support for the learners in both efficiency and convenience. The blood vessels especially the coronary arteries with rich details are the key part of the anatomic scenario of the virtual training system. The variations in diameters and directions make the segmentation of the coronary arteries a difficult work. In this paper, a robust and semi-automatic approach for the segmentation of the coronary arteries is developed. The approach is based on the multi-scale tubular enhancement and an improved geodesic active contours model. The demonstrated approach firstly enhances the tubular objects by computing their "vesselness". Next the edge potential maps are calculated based on the enhanced information. Meanwhile, the initial contours are generated by a modified fast marching method. Then the actual wave fronts evolution extracts the details of the coronary arteries. Finally the visualization model is organized based on the segmentation results by the marching cubes method. This approach has been proved successful for the visualization of the coronary arteries based on the CTA information.

关键词： Robotic surgery

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Part-based Pedestrian Detection using Grammar Model and ABM-HoG Features

Part-based Pedestrian Detection using Grammar Model and ABM-...

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IEEE International Conference on Vehicular Electronics and Safety (ICVES)

作者： Li, Bo Li, Ye Tian, Bin Zhu, Fenghua Xiong, Gang Wang, Kunfeng Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China

ISBN: (纸本)9781479903801

To handle the pedestrian appearance and pose variations in complex traffic environments, we present one part-based pedestrian detection approach using a stochastic grammar model in this paper. The And-Or graph model is introduced to represent the human body as an assembly of compositional and reconfigurable parts. Thus, the task of detection is converted into the human parsing problem, which is a Bayesian inference process. We model the appearance of pedestrian parts in a rich feature representation. This appearance model enhances the Histogram of Gradients (HoG) map with Active Basis Model (ABM), which is a sparse deformable template depicting salient structures of objects. Then, geometry constraints among parts are described by Gaussian distributions. Finally, the bottom-up parsing inference is conducted by aggregating scores to get the pedestrian detection responses. In experiments, we show the superiority of our appearance model, as well as the reliable pedestrian detection results of our approach in complex traffic scenes.

关键词： pedestrian detection grammar model part-based object detection

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Design and Implementation of the Networked Video Surveillance and management Platform in Suzhou Subway Line 1

Design and Implementation of the Networked Video Surveillanc...

引用

IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)

作者： Li, Bo Tian, Bin Li, Ye Xiong, Gang Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China

ISBN: (纸本)9781479905300;9781479905294

Video surveillance systems play an important role in public safety monitoring and intelligent management of the subway system. In this paper, we take the video surveillance system in Suzhou Subway Line 1 as the application background and develop a comprehensive video surveillance and management platform. According to the hierarchical architecture of hardware devices in the video surveillance system, the design and implementation of this software platform in B/S framework are presented in detail. Our platform is composed of five primitive functional modules: video surveillance, device management, device alarm management, storage management, and user management. These modules not only cover the functions which are fundamental in conventional video surveillance platform, but also include some special services that are related to specific hardware devices. Through our video surveillance and management platform, various resources in the network can be uniformly integrated and controlled to realize the convenient management and flexible operation.

关键词： subway systems video surveillance and management platform video management server

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Vehicle Detection based on the Deformable Hybrid Image Template

Vehicle Detection based on the Deformable Hybrid Image Templ...

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IEEE International Conference on Vehicular Electronics and Safety (ICVES)

作者： Li, Ye Li, Bo Tian, Bin Zhu, Fenghua Xiong, Gang Wang, Kunfeng Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China

ISBN: (纸本)9781479903801

In complex urban traffic conditions, the accurate detection of vehicles is challenging to current vehicle detection methods. To achieve the precise vehicle detection in complex urban traffic conditions, we have proposed a vehicle detection method based on a deformable hybrid image template in this paper. Our method contains two steps: constructing our hybrid image template and its probability model, and detecting vehicles from traffic images by using a three-stage SUM-MAX procedure. In the template construction step, small image patches constituting the hybrid image template are automatically learned from training images. These image patches have various features and the feature types include sketch, texture, flatness, and color. Furthermore, a probability model is proposed to assist the vehicle detection step. After the template construction, a three-stage SUM-MAX procedure is applied to achieve vehicle detection with local deformations in locations and orientations. There are two innovations in our method which are the applications of the hybrid image template and the three-stage SUM-MAX procedure in vehicle detection under complex urban traffic conditions. To evaluate our method, we have done a quantitative and contrast experiment and the experiment on complex urban traffic conditions. The experimental results show that our method can effectively cope with various vehicle poses, vehicle shapes, time-of-day and weather conditions. In particular, our method has good performance in complex urban traffic conditions.

关键词： Vehicle detection hybrid image template probability model

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A Multi-scale Model Integrating Multiple Features for Vehicle Detection

A Multi-scale Model Integrating Multiple Features for Vehicl...

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16th International IEEE Conference on Intelligent Transportation systems (ITSC)

作者： Li, Ye Wang, Fei-Yue Li, Bo Tian, Bin Zhu, Fenghua Xiong, Gang Wang, Kunfeng Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China

ISBN: (纸本)9781479929146

In traffic video surveillance systems, vehicles with various distances from the camera have different sizes, resolutions, and angles in traffic images. The common multi-scale method, which scales one vehicle template or the input image for detecting vehicles with different sizes, may fail to detect vehicles with various distances from the camera due to the change of the resolution and angle. To deal with this problem, we have proposed a multi-scale model including multiple templates with different scales and features. Our method includes two steps: constructing the multi-scale model and its probability model, and detecting vehicles from traffic images. In the first step, the multi-scale model is constructed by using three templates T-1, T-2, T-3 which represent vehicles with the short, medium, and long distance from the camera respectively. Each template contains one or some combination of sketch, texture, flatness, and color. In the second step, the three templates are applied for vehicle detection by using the template matching with local maximization operations. The main innovation of this paper is that the combination of multi-template and multi-scale method is applied to detect vehicles with various distances from the camera. To test our method, we have done several experiments on various traffic conditions. The experimental results show that our method effectively copes with vehicles with various distances from the camera and provides the detailed vehicle information after vehicle detection. Moreover, our method adapts to various weather conditions, slight pose variance, and slight occlusion.

关键词： Vehicles

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An Interactive Multiview 3D Display System

An Interactive Multiview 3D Display System

引用

Conference on Emerging Digital Micromirror Device Based systems and Applications V

作者： Zhang, Zhaoxing Geng, Zheng Zhang, Mei Dong, Hui Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China

ISBN: (纸本)9780819493873

The progresses in 3D display systems and user interaction technologies will help more effective 3D visualization of 3D information. They yield a realistic representation of 3D objects and simplifies our understanding to the complexity of 3D objects and spatial relationship among them. In this paper, we describe an autostereoscopic multiview 3D display system with capability of real-time user interaction. Design principle of this autostereoscopic multiview 3D display system is presented, together with the details of its hardware/software architecture. A prototype is built and tested based upon multi-projectors and horizontal optical anisotropic display structure. Experimental results illustrate the effectiveness of this novel 3D display and user interaction system.

关键词： autostereoscopic multiview interaction 3D image visualization multi-projectors anisotropic display display system

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A Robust Road Segmentation Method Based on Graph Cut with Learnable Neighboring Link Weights

A Robust Road Segmentation Method Based on Graph Cut with Le...

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17th International IEEE Conference on Intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2014

作者： Jun Yuan Shuming Tang Fei Wang Hong Zhang State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences High-Tech Innovation Engineering Center Institute of AutomationChinese Academy of Sciences Institute of Artificial Intelligence and Robotics of Xi'an Jiaotong University School of Information Engineering Minzu University of China

Road region detection is a crucial functionality for road following in advanced driver assistance systems(ADAS).To address the problem of environment interference in road segmentation through a monocular vision approach,a novel graph-cut based method is proposed in this *** novelty of this proposal is that weights of neighboring links(n-links) in a s-t graph are estimated by Multilayer Perceptrons(MLPs) rather than calculating by the neighboring contrast simply in previous graph-cut based *** n-link weights by MLPs reinforces the ability of graph-cut based road segmentation algorithms to tolerate the complex and changeable appearance of road ***,the Gentle Ada Boost algorithm is integrated into the graph-cut framework to estimate the terminal link(t-link) weights in the s-t *** are conducted to show the robustness and efficiency of the proposed method.

关键词： image A Robust Road Segmentation Method Based on Graph Cut with Learnable Neighboring Link Weights Graph

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Visual Measurement and control for Underwater Robots: A Survey

Visual Measurement and Control for Underwater Robots: A Surv...

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第25届中国控制与决策会议

作者： Feihu Sun Junzhi Yu De Xu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences The Research Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781467355339

The recently increased interests in visual measurement and control applied to underwater robots have challenged the existing visual technologies that once were sufficient in ground-based applications. This paper surveys the major difficulties and representative applications in underwater visual measurement and control, most of which result from the particularity of the aquatic environments. Specifically, the state of the art of the underwater vision is summarized from different perspectives, primarily involving key points and existing problems. In particular, the application of the embedded vision-based system in the context of bionics is accented. Finally, the potential development trends and possible breakthroughs are discussed, shedding light on the effort both in hardware and software to advance real-world underwater vision applications.

关键词： Visual measurement and control, Underwater robots, Embedded vision, Bio-robotics.

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