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International IEEE Conference on Intelligent Transportation systems

作者： Y. F. Zhao F. Y. Wang H. Gao F. H. Zhu Y. S. Lv P. J. Ye The State Key Laboratory of Management and Control for Complex Systems CASIA Beijing 100190 China Southwest China Institute of Electronic Technology Chengdu 610036 China

ISBN: (纸本)9781467365970

Traffic signal control is an effective way of solving urban traffic problems by providing appropriate signal control plans for various intersections. Essentially, the aim of Traffic Signal control is to find the best matching timing plans to current traffie conditions. Inspired by recommendation technology, we regard traffic conditions as users, timing plans as items, and traffic indicators like delay time are regarded as the ratings that users give to items. By means of Content-based Recommendation technology and k-Nearest Neighbor method in Recommendation systems, we first find the similar traffic conditions according to the characteristics of traffic conditions. Then the matching degree between current traffic conditions and various timing plans can be predicted by analyzing the history data of selected similar traffic conditions. What's more, Artificial Transportation systems method was applied to recommend and sort the timing plans for various traffic conditions in this paper. With normalized Discounted Cumulative Gain, which is a measure of ranking quality, was chosen as the performance indicator, we conducted the experiments in Paramics. The results showed that the strategies based on our method outperform the classic Webster method.

关键词： Artificial Transportation systems and simulation Contented-based Recommendation data mining and data analysis Traffic Signal control Progressive traffic signal control Area traffic signal control Automatic traffic signal control Traffic Traffic signals Recommender systems performance indicators

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Differential Spatial Modulation for Dual-hop Amplify-and-Forward Relaying

Differential Spatial Modulation for Dual-hop Amplify-and-For...

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IEEE International Conference on Communications

作者： Meng Zhang Miaowen Wen Xiang Cheng Liu-Qing Yang School of Electronics Engineering and Computer Science Peking University School of Electronic and Information Engineering South China University of Technology State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781467364300

Differential spatial modulation (DSM) is a newly proposed differential modulation technique tailored to spatial modulation (SM), which requires no channel state information (CSI) at the receiver. DSM can offer flexible tradeoff between the reception reliability and the system complexity. In this paper, we are the first to study the adoption of DSM in a dual-hop amplify-and-forward (AF) relaying system, which consists of a two-antenna source, a single-antenna relay, and a single-antenna destination, so as to reduce the burden of channel tracking on both the relay and the destination. We derive a general upper bound on the average bit error probability (ABEP) achieved by the system. Moreover, an exact closed-form ABEP expression and the asymptotic result are provided for BPSK signaling in Rayleigh fading environment. The same system setup with the adoption of SM at the source is chosen as a benchmark for performance comparisons. Simulation results validate the analysis and reveal a 3dB signal-to-noise power ratio (SNR) penalty of the considered system compared with the benchmark.

关键词： Relays Upper bound Binary phase shift keying Signal to noise ratio Transmitting antennas Wireless communication

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Learning associate appearance manifolds for cross-pose face recognition

Learning associate appearance manifolds for cross-pose face ...

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作者： Chen, Xue Wang, Chunheng Xiao, Baihua Cai, Xinyuan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China

ISBN: (纸本)9781479957514

Pose variation is a major challenge in face recognition. In this paper, we propose a novel cross-pose face recognition method by learning associate appearance manifolds to model the connection of faces under different poses. The associate manifolds are built on an auxiliary set, in which each identity contains cross-pose face images. The basic assumption is that cross-pose face images from two similar identities can be projected onto similar appearance manifolds by pose-specific transforms. We first associate the input faces with alike identities from the auxiliary set. Then the manifolds of cross-pose faces in the training set are confined close to that of the associate identities in the auxiliary set. Thus, the connection of cross-pose faces is well modeled by the associate appearance manifolds on the auxiliary set. Formally, we formulate the assumption as a manifold-based distance minimization problem, so as to learn the optimal transforms. Experiments on the Multi-PIE dataset demonstrate the effectiveness of the proposed method. © 2014 IEEE.

关键词： Face recognition

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Learning co-occurrence strokes for scene character recognition based on spatiality embedded dictionary

Learning co-occurrence strokes for scene character recogniti...

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作者： Gao, Song Wang, Chunheng Xiao, Baihua Shi, Cunzhao Zhou, Wen Zhang, Zhong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China

ISBN: (纸本)9781479957514

Robust scene-text-extraction system can be used in lots of areas. In this work, we propose to learn co-occurrence of local strokes for robust character recognition by using a spatiality embedded dictionary (SED). Different from spatial pyramid partitioning images into grids to incorporate spatial information, our SED associates every codeword with a particular response region and introduces more precise spatial information for character recognition. After localized soft coding and max pooling of the first layer, a sparse dictionary is learned to model co-occurrence of several local strokes, which further improves classification performance. Experiment on benchmark datasets demonstrates the effectiveness of our method and the results outperform state-of-the-art algorithms. © 2014 IEEE.

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Scenario oriented discriminant analysis for still-to-video face recognition

Scenario oriented discriminant analysis for still-to-video f...

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作者： Chen, Xue Wang, Chunheng Xiao, Baihua Cai, Xinyuan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China

ISBN: (纸本)9781479957514

In the Still-to-Video (S2V) face recognition, each subject is enrolled with only few high resolution images, while the probe is video clips of complex variations. As faces present distinct characteristics under different scenarios, recognition in the original space is obviously inefficient. Therefore, in this paper, we propose a novel discriminant analysis method to learn separate mappings for different scenario patterns (still, video), and further pursue a common discriminant space for the cross-scenario samples. To maximize the intra-individual correlation of samples in the mapping space, we formulate the learning objective by incorporating the intra-class compactness and the inter-class dispersion. The gradient descend algorithm is used to get the optimal solution. Experimental results on the COX-S2V dataset demonstrate the effectiveness of the proposed method and remarkable superiority over state-of-art methods. © 2014 IEEE.

关键词： Discriminant analysis

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A contour detection approach for mobile robot

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8918卷 265-272页

作者： Ai, Kun Cao, Zhiqiang Liu, Xilong Zhou, Chao Yang, Yuequan The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The College of Information Engineering Yangzhou University Yangzhou China

Safe moving is a basic ability for a mobile robot, and it is beneficial for the robot to avoid the collisions with the environment if it knows the boundaries between the obstacles and free space. In this paper, a contour detection approach is presented. The input image is firstly processed by a Gaussian filter and Sobel edge detector. After it is processed by connectivity based boundaries extraction, the result is finalized, aided by Canny edge map. The experiments demonstrate the effectiveness of our approach. © Springer International Publishing Switzerland 2014.

关键词： Mobile robots

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Course and depth control for a Biomimetic Underwater Vehicle - RobCutt-I

Course and depth control for a Biomimetic Underwater Vehicle...

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24th International Ocean and Polar Engineering Conference, ISOPE 2014 Busan

作者： Wei, Qingping Wang, Shuo Zhou, Chao Tan, Min State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781880653913

A new type of Biomimetic Underwater Vehicle (RobCutt-I) inspired by cuttlefish was designed and fabricated in this paper. The RobCutt-I has a good maneuverability and can perform multiple motion modes especially can dive or float vertically. A course controller and a depth controller for the RobCutt-I were proposed respectively based on the active disturbance rejection control (ADRC) technique. Experiments conducted on the RobCutt-I prototype validated the feasibility and effectiveness of the mechanism and control system. Step response experiments on the RobCutt-I prototype showed that both the course controller and depth controller have good performance and antiinterference ability. Copyright © 2014 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： controllers

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Interactive scene text detection on mobile devices

Interactive scene text detection on mobile devices

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3rd International Conference on Multimedia Technology, ICMT 2013

作者： Hu, Jinlong Xiao, Baihua Wang, Chunheng Shi, Cunzhao Gao, Song State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783642414060

With the increasing resolution and availability of digital cameras, text detection in natural scene images receives a growing attention. When taking pictures using a mobile device, people generally only concerned with interesting texts instead of all of the text in the image. In this paper, we propose an interactive method to detect and extract interesting text in natural scene images. We first draw a line to label a region which contains the texts we want to detect. Then a coarse-to-fine strategy is adopted to detect texts in this label region. For coarse detection, we apply Canny edge detection and connected component (CC)-based approach to extract coarse region from the label region. For fine detection, some heuristic rules are specially designed to eliminate some non-text CCs and then to merge the remaining CCs in the coarse region. To better evaluate our algorithm, we collect a new dataset, which includes various texts in diverse real-world scenarios. Experimental results on the proposed dataset demonstrate very promising performance on detecting text in complex natural scenes. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Digital devices

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Learning convolutional domain-robust representations for cross-view face recognition

Learning convolutional domain-robust representations for cro...

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作者： Chen, Xue Wang, Chunheng Xiao, Baihua Gao, Song State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

This paper proposes to obtain high-level, domain-robust representations for cross-view face recognition. Specially, we introduce Convolutional Deep Belief Networks (CDBN) as the feature learning model, and an CDBN based interpolating path between the source and target views is built to model the correlation of cross-view data. The promising results outperform other state-of-the-art methods. Copyright © 2014 The institute of Electronics, Information and Communication Engineers.

关键词： Face recognition

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Data-based characteristics analysis for linear discrete-time systems 19

Data-based characteristics analysis for linear discrete-time...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Wang, Zhuo Liu, Derong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9783902823625

In this paper, we develop data-based methods to analyze the characteristics of linear discrete-time systems, which have unknown parameter matrices. These characteristics include output controllability, asymptotic stability of the equilibrium point, bounded-input bounded-state stability, and bounded-input bounded-output stability. Our methods only use measured state and output data to verify the system properties. They are direct analysis methods and do not need to identify the unknown parameter matrices. These data-based methods not only can avoid identification errors, but also have lower computational complexity than traditional model-based analysis approaches. © IFAC.

关键词： Discrete time control systems

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