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2012 20th Signal Processing and Communications Applications Conference, SIU 2012

作者： Albayrak, Nur Banu Oktay, Ayşe Betül Akgül, Yusuf Sinan GIT Vision Lab. Department of Computer Engineering Gebze Institute of Technology Kocaeli 41400 Turkey Bilgisayar Mühendisliǧi Bölümü Istanbul Medeniyet Üniversitesi Turkey

ISBN: (纸本)9781467300568

Aim of this study is to localize intervertebral discs from MR images. The study implements a system that uses HOG-SVM based method which was used in previous studies. In addition to this, the study uses projection method to obtain better results. Intensity values of MR images can vary from sample to sample. HOG features provide better results by using gradient values instead of using pure intensity values. Vertical and horizontal gradient information is used through the features obtained by projection method. This information provides better detection results. © 2012 IEEE.

关键词： Magnetic resonance imaging

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Evaluation of fast 2D and 3D medical image retrieval approaches based on image miniatures

Evaluation of fast 2D and 3D medical image retrieval approac...

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2nd MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CDS 2011

作者： Donner, René Haas, Sebastian Burner, Andreas Holzer, Markus Bischof, Horst Langs, Georg Computational Image Analysis and Radiology Lab. Department of Radiology Medical University of Vienna Austria Institute for Computer Graphics and Vision Graz University of Technology Austria Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA United States

ISBN: (纸本)9783642284595

The present work evaluates four medical image retrieval approaches based on features derived from image miniatures. We argue that due to the restricted domain of medical image data, the standardized acquisition protocols and the absence of a potentially cluttered background a holistic image description is sufficient to capture high-level image similarities. We compare four different miniature 2D and 3D descriptors and corresponding metrics, in terms of their retrieval performance: (A) plain miniatures together with euclidean distances in a k Nearest Neighbor based retrieval backed by kD-trees;(B) correlations of rigidly aligned miniatures, initialized using the kD-tree;(C) distribution fields together with the l1-norm;(D) SIFT-like histogram of gradients using the χ2-distance. We evaluate the approaches on two data sets: the ImageClef 2009 benchmark of 2D radiographs with the aim to categorize the images and a large set of 3D-CTs representing a realistic sample in a hospital PACS with the objective to estimate the location of the query volume. © 2012 Springer-Verlag.

关键词： Medical imaging

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Unsupervised inference of auditory attention from biosensors

Unsupervised inference of auditory attention from biosensors

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2012 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2012

作者： Kandemir, Melih Klami, Arto Vetek, Akos Kaski, Samuel Helsinki Institute for Information Technology HIIT Department of Information and Computer Science Aalto University Finland Nokia Research Center Media Technologies Lab. Finland Helsinki Institute for Information Technology HIIT Department of Computer Science University of Helsinki Finland

ISBN: (纸本)9783642334856

We study ways of automatically inferring the level of attention a user is paying to auditory content, with applications for example in automatic podcast highlighting and auto-pause, as well as in a selection mechanism in auditory interfaces. In particular, we demonstrate how the level of attention can be inferred in an unsupervised fashion, without requiring any lab.led training data. The approach is based on measuring the (generalized) correlation or synchrony between the auditory content and physiological signals reflecting the state of the user. We hypothesize that the synchrony is higher when the user is paying attention to the content, and show empirically that the level of attention can indeed be inferred based on the correlation. In particular, we demonstrate that the novel method of time-varying Bayesian canonical correlation analysis gives unsupervised prediction accuracy comparable to having trained a supervised Gaussian process regression with lab.led training data recorded from other users. © 2012 Springer-Verlag.

关键词： Correlation methods

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An analysis of verifications in microblogging social networks - Sina Weibo

An analysis of verifications in microblogging social network...

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32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012

作者： Chen, Junting She, James HKUST-NIE Social Media Lab. Hong Kong University of Science and Technology Kowloon Hong Kong Dept. of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

ISBN: (纸本)9781467314237

Sina Weibo (Weibo) is a fast growing microblogging social network with total user size closer to Twitter. Weibo adopts a mechanism to verify users, so that the public can identify true accounts of celebrities and official channels of certain organizations. The verification mechanism builds trust and authenticity to the source, and hence, stimulates people to actively participate on the platform. However, how the verifications affect the user behaviors in microblogging social networks have never been fully investigated. This paper analyzes the Weibo social network with verifications, by comparing the user microblogging behaviors between verified users and unverified users and studying the social network evovlements of these two group of users. In addition, a method is proposed to approximately reconstruct the network evolvement, and lower bound quasi-densification exponents for the social networks are found. Empirical evidence demonstrates that verifications play a significant role in motivating users to have more interactions in a social network. © 2012 IEEE.

关键词： Behavioral research

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A Multi Objective Control approach to Online Dual Arm Manipulation 1

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IFAC Proceedings Volumes 2012年第22期45卷 747-752页

作者： Petter Ögren Christian Smith Yiannis Karayiannidis Danica Kragic Computer Vision and Active Perception Lab. Centre for Autonomous Systems School of Computer Science and Communication Royal Institute of Technology (KTH) SE-100 44 Stockholm Sweden

In this paper, we propose a new way to exploit the redundancy of dual arm mobile manipulators when performing inherently bi-manual tasks using online controllers. Bi-manual tasks are tasks that require motion of both arms in order to be carried out efficiently, such as holding and cleaning an object, or moving an object from one hand to the other. These tasks are often associated with several constraints, such as singularity- and collision avoidance, but also a high degree of redundancy, as the relative positions of the two grippers is far more important than the absolute positions, when for example handing an object from one arm to the other. By applying a modular multi objective control framework, inspired by earlier work on sub-task control, we exploit this redundancy to form a subset of the joint space that is feasible, i.e. not violating any of the constraints. Earlier approacher added the additional tasks in terms of equality constraints, thereby reducing the dimension of the feasible subset until it was a single point. Here however, we add the additional tasks in terms of inequalities, removing parts of the feasible set rather than collapsing its dimensionality. Thus, we are able to handle an arbitrary number of constraints, instead of a number corresponding to the dimension of the feasible set (degree of redundancy). Finally, inside the feasible set we choose controls stay in the set, while simultaneously minimizing some given objective. The proposed approach is illustrated by several simulation examples.

关键词： Robotic manipulators Redundant Manipulators Robot control Robot kinematics Autonomous mobile robots

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Adaptive Force/Velocity control for opening unknown doors 1

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IFAC Proceedings Volumes 2012年第22期45卷 753-758页

作者： Yiannis Karayiannidis Christian Smith Petter Ögren Danica Kragic Computer Vision and Active Perception Lab. Centre for Autonomous Systems School of Computer Science and Communication Royal Institute of Technology (KTH) SE-100 44 Stockholm Sweden

The problem of door opening is fundamental for robots operating in domestic environments. Since these environments are generally unstructured, a robot must deal with several types of uncertainties associated with the dynamics and kinematics of a door to achieve successful opening. The present paper proposes a dynamic force/velocity controller which uses adaptive estimation of the radial direction based on adaptive estimates of the door hinge's position. The control action is decomposed into estimated radial and tangential directions, which are proved to converge to the corresponding actual values. The force controller uses reactive compensation of the tangential forces and regulates the radial force to a desired small value, while the velocity controller ensures that the robot's end-effector moves with a desired tangential velocity. The performance of the control scheme is demonstrated in simulation with a 2 DoF planar manipulator opening a door.

关键词： door opening force/velocity control adaptive estimation

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Object recognition using saliency maps and HTM learning

Object recognition using saliency maps and HTM learning

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2012 IEEE International Conference on Imaging Systems and Techniques, IST 2012

作者： Kostavelis, Ioannis Nalpantidis, Lazaros Gasteratos, Antonios Laboratory of Robotics and Automation Department of Production and Management Engineering Democritus University of Thrace Vas. Sofias 12 GR-67100 Xanthi Greece Computer Vision and Active Perception Lab. Centre for Autonomous Systems Royal Institute of Technology - KTH SE-100 44 Stockholm Sweden

ISBN: (纸本)9781457717741

In this paper a pattern classification and object recognition approach based on bio-inspired techniques is presented. It exploits the Hierarchical Temporal Memory (HTM) topology, which imitates human neocortex for recognition and categorization tasks. The HTM comprises a hierarchical tree structure that exploits enhanced spatiotemporal modules to memorize objects appearing in various orientations. In accordance with HTM's biological inspiration, human vision mechanisms can be used to preprocess the input images. Therefore, the input images undergo a saliency computation step, revealing the plausible information of the scene, where a human might fixate. The adoption of the saliency detection module releases the HTM network from memorizing redundant information and augments the classification accuracy. The efficiency of the proposed framework has been experimentally evaluated in the ETH-80 dataset, and the classification accuracy has been found to be greater than other HTM systems. © 2012 IEEE.

关键词： Object recognition

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Design and development of a wearable rehabilitation robot 1

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4th International Conference on Social Robotics, ICSR 2012

作者： He, Wei Ge, Shuzhi Sam Guo, Weian Zhao, Zhen Zhang, Jie Xiao, Shengtao Nuraisha, Fon Ping Quek Robotics Institute School of Automation Engineering University of Electronic Science and Technology of China Chengdu 611731 China Robotics Institute School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Social Robotics Lab. Interactive Digital Media Institute National University of Singapore Singapore 119613 Singapore

ISBN: (数字)9783642341038

ISBN: (纸本)9783642341021

In this paper, we present the design and development of a wearable robot for the lower limb rehabilitation including the mechanical, electrical system, software implementation, etc. To make the robot wearable and portable and simplify the mechanism structure, servo motors are used as robot's joints. A friendly human robot interface is designed to make the robot easy to use. The dynamics of the robot is described by a 2-link rigid robotic manipulator in the joint space. The simulation results are given to demonstrate the feasibility and effectiveness of the designed lower limb rehabilitation robot-assisted system. © 2012 Springer-Verlag.

关键词： Machine design

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Resource-distortion modeling for video streaming over mesh networks with priority-based packet scheduling

Resource-distortion modeling for video streaming over mesh n...

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2012 13th IEEE International Conference on Multimedia and Expo, ICME 2012

作者： Zhang, Yongfei Zhang, Yunsheng Qin, Shiyin He, Zhihai Beijing Key Lab. of Digital Media School of Computer Science and Engineering Beihang University Beijing 100191 China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing 100191 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Graduate School at Shenzhen Tsinghua University Shenzhen 518055 China Department of Electrical and Computer Engineering University of Missouri Columbia MO 65211 United States

ISBN: (纸本)9781467316590

Video streaming over mesh networks operates under stringent network resource constraints, with a large number of video sessions competing for limited network resources. In this work, we aim to establish so-called resource-distortion models to characterize the inherent relationship between the allocated network resources to each video session and its end-to-end video distortion or presentation quality at the receiver end. We observed that priority-based packet scheduling has significant impact on such resource-distortion relationship. Using ANN-based learning methods, we develop an end-to-end packet delay bound violation (PDBV) probability model for video streaming over multi-hop networks with priority-based packet scheduling. We then derive a quadratic video transmission distortion model to capture the unique behavior of priority-based packet scheduling and its impact on the end-to-end video distortion. Based on these resource-distortion models, we are able to predict the end-to-end distortion for video streaming over multi-hop networks with priority-based packet scheduling. Our extensive experimental results demonstrate that the proposed method is very accurate. © 2012 IEEE.

关键词： Video streaming

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Impedance control of a rehabilitation robot for interactive training 1

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4th International Conference on Social Robotics, ICSR 2012

作者： He, Wei Ge, Shuzhi Sam Li, Yanan Chew, Effie Ng, Yee Sien Robotics Institute School of Automation Engineering University of Electronic Science and Technology of China Chengdu 611731 China Robotics Institute School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Social Robotics Lab. Interactive Digital Media Institute National University of Singapore Singapore 119613 Singapore Division of Neurology National University Hospital Singapore 119074 Singapore Department of Rehabilitation Medicine Singapore General Hospital Singapore 169608 Singapore

ISBN: (数字)9783642341038

ISBN: (纸本)9783642341021

In this paper, neural networks based impedance control is developed for a wearable rehabilitation robot in interactions with humans and the environments. The dynamics of the robot are represented by an n-link rigid robotic manipulator. To deal with the system uncertainties and improve the robustness of the system, the adaptive neural networks are used to approximate the unknown model of the constrained robot. With the proposed control, uniform ultimate boundedness of the closed loop system is achieved based on the Lyapunov method. The states of the system converge to a small neighborhood of zero by properly choosing control gains. Extensive simulations are conducted to verify the proposed control. © 2012 Springer-Verlag.

关键词： Lyapunov methods

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