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IAPR International Workshop on Document Analysis systems, DAS

作者： Cunzhao Shi Baihua Xiao Chunheng Wang Yang Zhang State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Interactive image segmentation which needs the user to give certain hard constraints has shown promising performance for object segmentation. In this paper, we consider characters in text image as a special kind of object, and propose an adaptive graph cut based text binarization method to segment text from background. The main contributions of the paper lie in: 1) in order to make the binarization local adaptive with uneven background, the text region image is firstly roughly split into several sub-images on which graph cut is applied, and 2) considering the unique characteristics of the text, we propose to automatically classify some pixels as text or background with high confidence, severed as hard constraints seeds for graph cut to extract text from background by spreading the seeds into the whole sub-image. The experimental results show that our approach could get better performance in both character extraction accuracy and recognition accuracy.

关键词： Image segmentation Image color analysis Image edge detection Character recognition Optical character recognition software Noise

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Training Strategies for a Lower Limb Rehabilitation Robot Based on Impedance control

Training Strategies for a Lower Limb Rehabilitation Robot Ba...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Jin Hu Zengguang Hou Feng Zhang Yixiong Chen Pengfeng Li State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781424441198

This paper proposes three training strategies based on impedance control, including passive training, damping-active training and spring-active training, for a 3- DOF lower limb rehabilitation robot designed for patients with paraplegia or hemiplegia. controllers with similar structure are developed for these training strategies, consisting of dual closed loops, the outer impedance control loop and the inner position/ velocity control loop, known as position-based impedance control method. Simulation results verify that position-based impedance control approach is feasible to accomplish the training strategies.

关键词： Training Strategies Lower Limb Rehabilitation Robot Based Impedance control

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Application of feature matching in the vehicle violation detection in urban traffic

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2012年第11期6卷 131-138页

作者： Ding, Huan Liu, Jin Zhao, Bo Zhang, Wensheng Dong, Wenyong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Computer School Wuhan University China

Computer vision and video analytics become increasingly important for intelligent transport systems (ITSs), and violation detection is one of the key points in ITSs. It is widely recognized that image based systems are flexible and versatile for advanced traffic monitoring and enforcement applications. In the proposed method, we first locate the tails from the images captured by a stationary camera, and then SURF(Speeded Up Robust Features) feature points are extracted from these tail images. A matching based rough detection stage is taken place to identify the high risk tails which are seen as violations and the low risk tails which are omitted as regular vehicles. Finally, color and shape information are taken advantages of to accomplish violation detection in the undetermined vehicles in the previous stage. Experiments are conducted using real live video sequences captured from an urban cross road. Results show that our method can potentially have a good performance.

关键词： Vehicles

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Research on students' mental crisis monitoring and intervention mechanism based on online social network

Research on students' mental crisis monitoring and intervent...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Li, Suna Shao, Xia Zhao, Feifei Tianjin Polytechnic University Tianjin China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

Internet as the fertile ground of free speech, everyone can express their emotions, cognition and views of things via the internet, especially in the era of Web2.0, the occurrence of blog which provides a wider space for personal speech. Internet provides a broad platform for contemporary college students to express thought and emotion, at the same time it provides a channel for education workers to understand students' thought and mental. Through real-time monitoring information on school area network, we can get real-time status, mood and some dynamic data which can portray characteristics of emotion of the concerned entity;also we can abstract the characterization of psychological crisis information, and use this feature to do data mining on these data. In this way we can find group of students which have tendency of psychological crisis, and use corresponding psychological crisis intervention online and offline methods to ease students' psychological crisis and to prevent tragic events in timely. © 2012 IEEE.

关键词： Students

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A monitoring network based on embedded vision nodes suitable for robotic systems 1

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5th International Conference on Intelligent Robotics and Applications, ICIRA 2012

作者： Jiao, Jile Ye, Shuguang Cao, Zhiqiang Yang, Yuequan Liu, Xilong Tan, Min State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China JiangSu King Source Electric Co. Ltd. Jiangsu 225200 China College of Information Engineering Yangzhou University Yangzhou 225009 China

ISBN: (数字)9783642335037

ISBN: (纸本)9783642335020

A visual monitoring network suitable for robotic systems is presented in this paper. The monitoring network is composed of embedded vision nodes. By interacting with an upper computer as well as the robotic system, the monitoring network provides an important supplement, which may accelerate the task execution. Each embedded vision node captures and processes images independently, and it is easy to install with compact size. The vision node contains a S3C2440 processor as the main processing module, a CMOS camera as the image capturing module and a zigbee module for wireless communication. The detection based on frame difference or color feature is used to determine the mass center of moving object. On this basis, the object information from one vision node may also be sent to another one for stereo vision localization with stereo vision model and least square method. Application examples are demonstrated to testify the monitoring network. © Springer-Verlag Berlin Heidelberg 2012.

关键词： Zigbee

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The research on micro-blog public opinion index and the application of prototype system

The research on micro-blog public opinion index and the appl...

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IEEE International Conference on Networking, Sensing and control

作者： Hao Lu Yanwu Yang Runsheng Gan Nan Zhang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Chinese Association of Automation Beijing China

The micro-blogs, as a new social media, possesses big differences with other social media on the aspect of information updating frequency, organization structure, user connection and etc, which have astonishing power of convergence and penetration. Based on this, it is proposed in this paper that Micro-Blog Public Opinion Index (MBPOI), which consists of five sub-indexes QI, II, RI, PI and CI (Quantity Index, Intensity Index, Relation Index, Polarity Index, Confidence Index) multi-dimensionally, is used to measure and evaluate the public topics and issues discussed in the micro-blogs. In the meanwhile, taking “ABB automatic world 2011” activity as example, the MBPOI prototype system is verified; it has been shown from the results that the MBPOI, which uses five sub-indexes method, owns much better effect by quantifying the topics/issues' influence in multi-dimensions and multi-levels, and provides effective micro-blogs analysis reports for monitoring and tracking the “ABB automatic world 2011” activity.

关键词： Indexes Blogs Monitoring automation Media Data mining Social network services

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A Simplified Minimum Enclosing Ball based Fast Incremental Support Vector Machine (SVM) Algorithm for Person Detection and Tracking

A Simplified Minimum Enclosing Ball based Fast Incremental S...

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World Congress on Intelligent control and automation

作者： Suiwu Zheng Hong Qiao Lihao Jia Toshio Fukuda State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Department of Micro-Nano Systems Engineering Nagoya University

ISBN: (纸本)9781467313971

In order to meet the requirements of stable person detection and tracking techniques in dynamic visual system, we propose a simplified minimum enclosing ball based fast incremental support vector machine (SVM) algorithm for person detection and tracking. Based on the simplified minimum enclosing ball (MEB) method, we propose a simplified and fast incremental algorithm to compute the MEB. By utilizing the equivalence between MEB and the dual problem in SVM, we achieve the online and incremental adjustment of the SVM classifier coefficients. The proposed method do not need to solve the quadratic programming problem. It is fast for training. Moreover, it can achieve the online update of classifiers for object tracking with small sample size. Finally, the efficiency of the proposed incremental SVM is validated by detection experiments on dynamic pedestrians tracking system.

关键词： Person Detection Incremental Support Vector Machine

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GPU based ordinal optimization for traffic signal coordination

GPU based ordinal optimization for traffic signal coordinati...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Wang, Kai Shen, Zhen Changsha Hunan China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan 523808 Guangdong Province China

ISBN: (纸本)9781467324007

Traffic signal coordination has long been a hot topic in Intelligent Transportation systems (ITS) research. Simulation-based optimization is an important method to optimize the coordination designs as the traffic systems are not easily described by mathematical models accurately. For the traffic simulator in the method, micro-simulation is becoming more and more popular than the macroscopic or mesoscopic simulation in recent years, as the micro-simulation can describe drivers' decision-making process and their driving behaviors in the framework of ITS. However, the computing burden for the micro-simulation is usually very heavy as a large number of vehicles are modeled and simulated separately. For the optimizer in the method, iterative algorithms such as Genetic Algorithms (GA), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO) are widely used to find the global optimal solutions. However, these algorithms usually take too much time to converge when a large-scale road network is encountered. To alleviate the computing burden and speed up the convergence, we build an agent-based traffic simulator and employ Ordinal Optimization (OO) as the optimizer. We accelerate both the simulator and the optimizer with Graphics Processing Unit (GPU), which has been applied successfully in many areas for parallel computing. Simulation results show the effectiveness of the OO method and the power of GPU for parallel computing. © 2012 IEEE.

关键词： Graphics processing unit

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Click frauds and price determination models

Click frauds and price determination models

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IEEE International Conference on Intelligence and Security Informatics, ISI

作者： Xiarong Li Daniel Zeng Lei Wang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China University of Arizona Tucson USA

Click fraud (CF) has become a serious problem in the online advertising, making the anti-CF issue quite important. In this paper, we analyze the effects of the price determination model on the CF situations in online advertising. Our theoretical results show that the flat-rate model can induce more click frauds than the real-time-bidding model. Our finding is validated with a real advertising dataset.

关键词： Advertising Biological system modeling Games Mathematical model Analytical models Filtering Nash equilibrium

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Semi-supervised Chinese Word Segmentation for CLP2012 2

Semi-supervised Chinese Word Segmentation for CLP2012

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2nd CIPS-SIGHAN Joint Conference on Chinese Language Processing, CLP 2012

作者： He, Sai-Ke He, Nan Cen, Song-Xiang Lu, Jun State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Co. Ltd China Baidu Inc Baidu Campus No. 10 Shangdi 10th Street Haidian District Beijing100085 China

Chinese word segmentation (CWS) lays the essential foundation for Mandarin Chinese analysis. However, its performance is always limited by the identification of unknown words, especially for short text such as Micro-blog. While local context are helpless in handling unknown words, global context do manifest enough contextual information, and could be used to guide CWS process. Based on this motivation, in this paper, we report our attempt toward building an integrated model in semi-supervised manner. Considering the complexity of model, we design a strategy to manipulate global and local contextual information asynchronously. Though the coverage of unknown words by such integrated model is still small, official results from CLP2012 present promising result. © 2021 CLP 2012 - 2nd CIPS-SIGHAN Joint Conference on Chinese Language Processing. All Rights Reserved.

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