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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Zhong Zhang Chunheng Wang Baihua Xiao Shuang Liu Wen Zhou State Key Laboratory of Management and Control for Complex Systems State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

Background modeling from a stationary camera is a crucial component in video surveillance. Traditional methods usually adopt single feature type to solve the problem, while the performance is usually unsatisfactory when handling complex scenes. In this paper, we propose a multi-scale strategy, which combines both texture and color features, to achieve a robust and accurate solution. Our contributions are two folds: one is that we propose a novel texture operator named Scale-invariant Center-symmetric Local Ternary Pattern, which is robust to noise and illumination variations, the other is that a multi-scale fusion strategy is proposed for the issue. Our method is verified on several complex real world videos with illumination variation, soft shadows and dynamic backgrounds. We compare our method with four state-of-the-art methods, and the experimental results clearly demonstrate that our method achieves the highest classification accuracy in complex real world videos.

关键词： Color Image color analysis Colored noise Robustness Lighting Feature extraction

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Human age estimation with surface-based features from MRI images

Human age estimation with surface-based features from MRI im...

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3rd International Workshop on Machine Learning in Medical Imaging, MLMI 2012, Held in conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012

作者： Wang, Jieqiong Dai, Dai Li, Meng Hua, Jing He, Huiguang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Computer Science Wayne State University MI United States

ISBN: (纸本)9783642354274

Over the past years, many efforts have been made in the estimation of the physiological age based on the human MRI brain images. In this paper, we propose a novel regression model with surface-based features to estimate the human age automatically and accurately. First, individual regional surface-based features (thickness, mean curvature, Gaussian curvature and surface area) from the MRI image were extracted, which were subsequently used to construct combined regional features and the brain networks. Then, the individual regional surface-based features, brain network with surface-based features and combined regional surface-based features were used for age regression by relevance vector machine (RVM), respectively. In the experiment, a dataset of 360 healthy subjects aging from 20 to 82 years was used to evaluate the performance. Experimental results based on 10-fold cross validation show that, compared to the previous methods, age estimation model with combined surface-based features can yield a remarkably high accuracy (mean absolute error: 4.6 years and root mean squared error: 5.6 years) and a significantly high correlation coefficient (r = 0.94), which is the best age estimation result as far as we know and suggests that surface-based features are more powerful than other features used in previous methods for human age estimation. © 2012 Springer-Verlag.

关键词： Magnetic resonance imaging

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Rotation Estimation for Mobile Robot Based on Single-axis Gyroscope and Monocular Camera

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International Journal of Automation and computing 2012年第3期9卷 292-298页

作者： Yang, Ke-Hu Yu, Wen-Sheng Ji, Xiao-Qiang School of Mechanical Electronic and Information Engineering China University of Mining and Technology Beijing 100083 China Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai 200062 China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

The rotation matrix estimation problem is a keypoint for mobile robot localization, navigation, and control. Based on the quaternion theory and the epipolar geometry, an extended Kalman filter (EKF) algorithm is proposed to estimate the rotation matrix by using a single-axis gyroscope and the image points correspondence from a monocular camera. The experimental results show that the precision of mobile robot s yaw angle estimated by the proposed EKF algorithm is much better than the results given by the image-only and gyroscope-only method, which demonstrates that our method is a preferable way to estimate the rotation for the autonomous mobile robot applications.

关键词： Rotation matrix estimation quaternion extended Kalman filter (EKF) monocular camera gyroscope.

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Extracting opinion explanations from Chinese online reviews

Extracting opinion explanations from Chinese online reviews

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2012 10th IEEE International Conference on Intelligence and Security Informatics, ISI 2012

作者： Li, Yuequn Mao, Wenji Zeng, Daniel Huangfu, Luwen Liu, Chunyang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Management Information Systems University of Arizona Tucson AZ United States CNCERT/CC Beijing China

ISBN: (纸本)9781467321037

Opinion mining has gained increasing attention and shown great practical value in recent years. Existing research on opinion mining mainly focuses on the extraction of lexicon orientation and opinion targets. The explanations of opinions, which are potentially valuable for many applications, are totally ignored. To address this specific research challenge, in this paper, we propose an approach to extract the explanation of reason and/or consequence behind an opinion via learning word pairs and using causal indicators from Chinese online reviews. We also improve our word pair based method by constructing clusters of word paris. Experiments on a Chinese business review corpus show that our method is feasible and effective. © 2012 IEEE.

关键词： Sentiment analysis

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Acquiring netizen group's opinions for modeling food safety events

Acquiring netizen group's opinions for modeling food safety ...

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2012 10th IEEE International Conference on Intelligence and Security Informatics, ISI 2012

作者： Tan, Zhangwen Mao, Wenji Zeng, Daniel Li, Xiaochen Bao, Xiuguo State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Management Information Systems University of Arizona Tucson AZ United States CNCERT/CC Beijing China

ISBN: (纸本)9781467321037

Food safety events are typical public security events that draw great public concern. In food safety events, millions of netizens pay close attention to the event, express their opinions online and thus influence the decisions of government or food producers. Modeling netizen groups, especially the dynamics of their opinions in these events, can help us understand the mechanism and evolvement of such events and provide valuable insights for social management. However, conventional computational models, such as agent-based models, are usually constructed manually. In this paper, we propose an approach to acquiring netizen group's opinions from online comments to facilitate the modeling of food safety events. We conduct experimental study on typical events happened in China and empirically evaluate the performance of our proposed approach. The results verify the effectiveness of the approach. © 2012 IEEE.

关键词： Computational methods

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A symbol identifier based recognition and relative positioning approach suitable for multi-robot systems 1

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

作者： Qian, Hanbo Yuan, Wenbo Liu, Xilong Cao, Zhiqiang Zhou, Chao Tan, Min Center of Coordination and Support of SASTIND Beijing 100081 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (数字)9783642335037

ISBN: (纸本)9783642335020

In this paper, a symbol identifier based recognition and relative positioning approach suitable for multi-robot systems is proposed. The symbol identifier is composed of central area and peripheral area, and there exists radial spokes in central area. The recognition approach utilizes some features including luminance feature of center point, luminance difference between center point and its ambient region, the number and distribution of spokes as well as the shape of peripheral area to filter the points in the image. Finally, the resulting pixel points set to characterize the center points of symbol identifiers is generated. On this basis, the positions of these center points relative to the camera are then calculated. The proposed approach is verified by the experiments. © Springer-Verlag Berlin Heidelberg 2012.

关键词： Multipurpose robots

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A novel pipeline for motif discovery, pruning and validation in promoter sequences of human tissue specific genes

A novel pipeline for motif discovery, pruning and validation...

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2012 IEEE 6th International Conference on systems Biology, ISB 2012

作者： Gong, Xiu-Jun Yu, Hua Zhao, Fei-Fei School of Computer Science and Technology Tianjin University Tianjin China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing China

ISBN: (纸本)9781467343985

Identification and analysis of tissue-specific (TS) genes and their regulatory activities play an important role in the understanding of mechanisms of organisms, disease diagnosis and drug design. In this paper, we designed a pipeline for the discovery of promoter motifs for tissue-specific genes. The pipeline consists of three phases: motif searching, motif merging and motif validation. The motif searching phase integrated three algorithms: MEME, AlignACE and Gibbs Sampling. In the second phase, we proposed a motif merging method, which is based on Bayesian probabilistic principles, to reduce redundancies of motifs from the first phase. Lastly, the motif validation phase verified the statistical significance of discovered motifs using a Bayesian Hypothesis Test approach. We performed the analysis on the sequences of promoter regions (-449bp-1000bp) of 4,552 human tissue-specific genes across 82 tissues and 924 housekeeping genes. The distributions of motifs in different promoter regions show that most motifs prefer to be in the proximal region (+500∼50bp, -50bp∼-500bp) of promoters. © 2012 IEEE.

关键词： Pipelines

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A New Calibration Method for an Inertial and Visual Sensing System

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International Journal of Automation and computing 2012年第3期9卷 299-305页

作者： Xu, De Wang, Hua-Wei Li, You-Fu Tan, Min State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China East China Research Institute of Electronic Engineering Hefei 230088 China Department of Manufacturing Engineering and Engineering Management City University of Hong Kong Hong Kong China

The relative pose between inertial and visual sensors equipped in autonomous robots is calibrated in two steps. In the first step, the sensing system is moved along a line, the orientations in the relative pose are computed from at least five corresponding points in the two images captured before and after the movement. In the second step, the translation parameters in the relative pose are obtained with at least two corresponding points in the two images captured before and after one step motion. Experiments are conducted to verify the effectiveness of the proposed method.

关键词： Inertial sensor visual sensor calibration motion estimation robot vision.

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Multimodal swimming control of a robotic fish with pectoral fins using a CPG network

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Chinese Science Bulletin 2012年第10期57卷 1209-1216页

作者： WANG Ming YU JunZhi TAN Min ZHANG JianWei School oflnformation and Electrical Engineering Shandong Jianzhu University Jinan 250101 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department oflnformatics University of Hamburg Hamburg D-22527 Germany

The neural-based approaches inspired by biological neural mechanisms of locomotion are becoming increasingly popular in robot *** paper investigates a systematic method to formulate a Central Pattern Generator(CPG) based control model for mul-timodal swimming of a multi-articulated robotic fish with flexible pectoral fins.A CPG network is created to yield diverse swim-ming in three dimensions by coupling a set of nonlinear neural oscillators using nearest-neighbor *** particular,a sensitivity analysis of characteristic parameters and a stability proof of the CPG network are *** the coordinated con-trol of the joint CPG,caudal fin CPG,and pectoral fin CPG,a diversity of swimming modes are defined and successfully *** latest results obtained demonstrate the effectiveness of the proposed *** is also confirmed that the CPG-based swimming control exhibits better dynamic invariability in preserving rhythm than the conventional body wave method.

关键词：网络控制多式联运机器鱼中央游泳胸鳍人民政府神经机制

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Fitting a functional structural plant model based on global sensitivity analysis

Fitting a functional structural plant model based on global ...

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2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012

作者： Lin, Yubin Kang, Mengzhen Hua, Jing National Key Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781467304283

Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial parameter values. This motivated the use of global sensitivity analysis technique to choose parameter subset in fitting the data sequence. Global sensitivity indices were computed using the source sink ratio as the output of interest, which regulates all organ growth. By fitting on chrysanthemum data from nine sampling dates, it is shown that sensitivity analysis method helps to identify the influential parameters for a given sampling date. As a result, fitting process is less dependent on the initial parameter values. Current work provides a new method of calibrating a plant growth model with multiple outputs. © 2012 IEEE.

关键词： Sensitivity analysis

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