检索结果-内蒙古大学图书馆

ITSC 2006: 2006 IEEE Intelligent Transportation systems Conference

作者： Batista, Jorge Peixoto, Paulo Fernandes, Catarina Ribeiro, Miguel ISR-Institute of Systems and Robotics Department of Electrical Engineering and Computers University of Coimbra Coimbra Portugal

ISBN: (纸本)1424400945

This paper addresses the important problem of detecting and tracking vehicles in outdoor dynamic scenes as part of a real-time traffic surveillance system. The proposed solution is based on a dual-stage approach, using a pixel-level stage to extract foreground object from background scenes and a block-level stage to detect and track vehicles. The pixel-level stage combines a multi-background modelling with a dynamic thresholding, using a low-scale quasi-connected-components as a first stage for image object grouping/cleaning. The block-level performs a 8×8 block-region analysis defining a block energy function that is used to label the blocks belonging to different vehicles and track them over a stack of images. This approach has proven to be very helpful for occlusion reasoning. The proposed solution has the ability to overcame some of the most difficult problem that arise in outdoor scenes such as illumination variations, shadow-casts and waving movement resulting from trees and camera vibration. The performance and robustness of the proposed algorithm is shown using real highway traffic monitoring situations. © 2006 IEEE.

关键词： Vehicle locating systems

来源：评论

学校读者我要写书评

暂无评论

Time-varying EEG spectral power predicts evoked and spontaneous fMRI motor brain activity

arXiv

引用

arXiv 2025年

作者： Mehta, Neil Gonçalves, Inês Montagna, Alberto Fleury, Mathis Caetano, Gustavo Esteves, Inês Vourvopoulos, Athanasios Grover, Pulkit Figueiredo, Patrícia Institute for Systems and Robotics Department of Bioengineering Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Electrical and Computer Engineering Department Carnegie Mellon University United States

Simultaneous EEG-fMRI recordings are increasingly used to investigate brain activity by leveraging the complementary high spatial and high temporal resolution of fMRI and EEG signals respectively. It remains unclear, however, to what degree these two imaging modalities capture shared information about neural activity. Here, we investigate whether it is possible to predict both task-evoked and spontaneous fMRI signals of motor brain networks from EEG time-varying spectral power using interpretable models trained for individual subjects with Sparse Group Lasso regularization. Critically, we test the trained models on data acquired from each subject on a different day and obtain statistical validation by comparison with appropriate null models as well as the conventional EEG sensorimotor rhythm. We find significant prediction results in most subjects, although less frequently for resting-state compared to task-based conditions. Furthermore, we interpret the model learned parameters to understand representations of EEG-fMRI coupling in terms of predictive EEG channels, frequencies, and haemodynamic delays. In conclusion, our work provides evidence of the ability to predict fMRI motor brain activity from EEG recordings alone across different days, in both task-evoked and spontaneous conditions, with statistical significance in individual subjects. These results present great potential for translation to EEG neurofeedback applications. © 2025, CC BY.

关键词： Image coding

来源：评论

学校读者我要写书评

暂无评论

PLACING REGISTRATION MARKS

引用

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 1994年第1期41卷 51-59页

作者： RAO, AS GOLDBERG, KY Department of Computer Science University of Utrecht Utrecht Netherlands Departments of Computer Science and Electrical Engineering-Systems Institute of Robotics and Intelligent Systems University of Southern California Los Angeles CA USA

In industrial assembly, a registration mark can be placed on parts to aid a computer vision system in determining the position and orientation (pose) of parts. However, when sensor noise and limits on resolution introduce errors in the measured location of the registration mark, these errors can propagate into the measurement of part pose. In this paper, we define the registration mark problem: given an n-sided rigid planar polygonal part-and a set of k poses for the part, locate a point on the surface of the part that maximizes the minimum distance between transformed points. A registration mark at this point will be maximally robust to sensor imperfections. We give an 0(n log n + k4 log k log* k) time algorithm to solve this planar problem using a result from Schwartz and Sharir [21], and demonstrate the algorithm using a commercial vision system. Our results extend to classes of curved planar parts and polyhedral parts.

关键词： computer vision computer errors Noise measurement Manufacturing automation robotics and automation computer science Intelligent robots computer industry Assembly systems Robustness

来源：评论

学校读者我要写书评

暂无评论

Control Schemes for Passive Teleoperation systems over Wide Area Communication Networks with Time Varying Delay

引用

International Journal of Automation and computing 2014年第1期11卷 100-108页

作者： Shafiqul Islam Xiaoping P.Liu Abdulmotaleb El Saddik Lakmal Seneviratne Jorge Dias School of Information Technology and Engineering University of Ottawa School of Engineering and Applied Sciences Harvard University Robotics and Mechanical Engineering Khalifa University of Science & Technology Department of Systems and Computer Engineering Carleton University Electrical Engineering New York University Division of Engineering Kings College London Robotics and Electrical and Computer Engineering Khalifa University of Science & Technology Institute of Systems and Robotics University of Coimbra

In this paper,the problem of time varying telecommunication delays in passive teleoperation systems is *** design comprises delayed position,velocity and position-velocity signals with the local position and velocity signals of the master and slave *** adaptive control terms are employed locally to cope with uncertain parameters associated with the gravity loading vector of the master and slave ***-Krasovskii function is employed for three methods to establish asymptotic tracking property of the closed loop teleoperation *** stability analysis is derived for both symmetrical and unsymmetrical time varying delays in the forward and backward communication channel that connects the local and remote ***,evaluation results are presented to illustrate the efectiveness of the proposed design for real-time applications.

关键词： Teleoperation telerobotics Lyapunov-Krasovskii functional time varying delay passive systems

来源：评论

学校读者我要写书评

暂无评论

Improved SDM-based robot navigation using image processing techniques

Improved SDM-based robot navigation using image processing t...

引用

2012 World Congress on engineering, WCE 2012

作者： Mendes, Mateus Coimbra, A. Paulo Crisóstomo, Manuel M. ISR - Institute of Systems and Robotics Dept. of Electrical and Computer Engineering University of Coimbra Portugal ESTGOH Polytechnic Institute of Coimbra Portugal

ISBN: (纸本)9789881925213

Intelligent robot navigation is a broad area of research. Vision-based approaches deserve special attention, for being biologically inspired, inexpensive and powerful. However, problems such as illumination changes, scenario changes and noise are difficult to overcome. In previous work the authors developed algorithms to navigate a robot based on sequences of visual memories stored into a Sparse Distributed Memory—a kind of associative memory suitable to work with high-dimensional binary vectors, which also exhibits behaviours in many aspects similar to those of the human brain. This paper analyses the impact of using different image processing techniques on the images used: histogram equalisation, contrast normalisation and smoothing using a Gaussian filter. The results show that equalisation and smoothing have a positive effect on the performance of the system. © 2012 Newswood Limited. All rights reserved.

关键词： Equalizers

来源：评论

学校读者我要写书评

暂无评论

Kinematic analysis and position/force control of the anthrobot dextrous hand

引用

IEEE TRANSACTIONS ON systems MAN AND CYBERNETICS PART B-CYBERNETICS 1997年第1期27卷 95-104页

作者： Kyriakopoulos, KJ VanRiper, J Zink, A Stephanou, HE New York State Center for Advanced Technology in Automation and Robotics and Electrical Department of Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

The increasing demand for robotic applications in unstructured environments is motivating the need for dextrous end-effecters which can cope with the wide variety of tasks and objects encountered in these environments, A new anthropomorphic robot hand (Anthrobot) which was designed for these environments is described. In this paper, the problem of developing the kinematics and unit consistent hybrid position/force control of the Anthrobot fingers is considered as the first step toward its utilization for either teleoperation or autonomous operation, A dynamic model of the fingers is identified and used to develop the control laws, The experimental results of applying the control to the Anthrobot are discussed.

关键词： Kinematics Force control Fingers robotics and automation Robots Humans Thumb Anthropomorphism Vehicle dynamics Power system modeling

来源：评论

学校读者我要写书评

暂无评论

Circumventing obstacles for visual robot navigation using a stack of odometric data

Circumventing obstacles for visual robot navigation using a ...

引用

2017 World Congress on engineering, WCE 2017

作者： Mendes, Mateus Coimbra, A. Paulo Crisóstomo, Manuel M. ESTGOH Polytechnic Institute of Coimbra Portugal ISR - Institute of Systems and Robotics Dept. of Electrical and Computer Engineering University of Coimbra Portugal

ISBN: (纸本)9789881404749

Recent advances in understanding the source of intelligent behaviour show that it is strongly supported on the use of a large and sophisticated memory. Constant increase of processing power and constant cost decrease of computer memory have encouraged research in vision-based methods for robot navigation. The present approach uses images stored into a Sparse Distributed Memory, implemented in parallel in a Graphics Processing Unit, as a method for robot localization and navigation. Algorithms for following previously learnt paths using visual and odometric information are described. A stack-based method for avoiding random obstacles, using visual information, is proposed. The results show the algorithms are adequate for indoors robot localization and navigation.

关键词： Graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

Bayesian 3D independent motion segmentation with IMU-aided RBG-D sensor

Bayesian 3D independent motion segmentation with IMU-aided R...

引用

2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent systems, MFI 2012

作者： Lobo, Jorge Ferreira, Joao Filipe Trindade, Pedro Dias, Jorge Department of Electrical and Computer Engineering University of Coimbra Portugal ISR - Institute of Systems and Robotics University of Coimbra Portugal Robotics Institute Khalifa University Abu Dhabi United Arab Emirates

ISBN: (纸本)9781467325110

In this paper we propose a two-tiered hierarchical Bayesian model to estimate the location of objects moving independently from the observer. Biological vision systems are very successful in motion segmentation, since they efficiently resort to flow analysis and accumulated prior knowledge of the 3D structure of the scene. Artificial perception systems may also build 3D structure maps and use optical flow to provide cues for ego- and independent motion segmentation. Using inertial and magnetic sensors and an image and depth sensor (RGB-D) we propose a method to obtain registered 3D maps, which are subsequently used in a probabilistic model (the bottom tier of the hierarchy) that performs background subtraction across several frames to provide a prior on moving objects. The egomotion of the RGB-D sensor is estimated starting with the angular pose obtained from the filtered accelerometers and magnetic data. The translation is derived from matched points across the images and corresponding 3D points in the rotation-compensated depth maps. A gyro-aided Lucas Kanade tracker is used to obtain matched points across the images. The tracked points can also used to refine the initial sensor based rotation estimation. Having determined the camera egomotion, the estimated optical flow assuming a static scene can be compared with the observed optical flow via a probabilistic model (the top tier of the hierarchy), using the results of the background subtraction process as a prior, in order to identify volumes with independent motion in the corresponding 3D point cloud. To deal with the computational load CUDA-based solutions on GPUs were used. Experimental results are presented showing the validity of the proposed approach. © 2012 IEEE.

关键词： Optical flows

来源：评论

学校读者我要写书评

暂无评论

Movement Detection and Moving Object Distinction Based on Optical Flow

Movement Detection and Moving Object Distinction Based on Op...

引用

2019 World Congress on engineering, WCE 2019

作者： Mendes, Paulo A.S. Mendes, Mateus Coimbra, A. Paulo Crisóstomo, Manuel M. Polytechnic Institute of Coimbra - ESTGOH Portugal ISR - Institute of Systems and Robotics Dept. of Electrical and Computer Engineering University of Coimbra Portugal

ISBN: (纸本)9789881404862

Detection of moving objects in sequences of images is an important research field, with applications for surveillance, tracking and object recognition among others. An algorithm to estimate motion in video image sequences, with moving object distinction and differentiation, is proposed. The motion estimation is based in three consecutive RGB image frames, which are converted to gray scale and filtered, before being used to calculate optical flow, applying Gunnar Farnebäck's method. The areas of higher optical flow are maintained and the areas of lower optical flow are discarded using Otsu's adaptive threshold method. To distinguish between different moving objects, a border following method was applied to calculate each object's contour. The method was successful detecting and distinguishing moving objects in different types of image datasets, including datasets obtained from moving cameras. © 2019 Newswood Limited. All rights reserved.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Exploring long-range correlations for text classification using a sparse distributed memory

Exploring long-range correlations for text classification us...

引用

2013 World Congress on engineering, WCE 2013

作者： Mendes, Mateus Coimbra, A. Paulo Crisostomo, Manuel M. Rodrigues, Jorge Polytechnic Institute of Coimbra ESTGOH Portugal Dept. of Electrical and Computer Engineering ISR - Institute of Systems and Robotics University of Coimbra Portugal

ISBN: (纸本)9789881925282

The present paper describes exploratory work in which a Sparse Distributed Memory (SDM) was applied as a text classifier. The SDM is a type of associative memory based on the properties of high-dimensional spaces, where data are stored based on pattern similarity. The results obtained with the SDM are surprisingly good, for they can be achieved with little or none pre-processing. They are far superior to the performance of a "dumb classifier," though still inferior to the results obtained with other modern methods.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：