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International Conference on Information and Automation (ICIA)

作者： Yuanrong Xu Qianqian Wang Xiao Bai Yen-Lun Chen Xinyu Wu Shenzhen Key Lab for Computer Vision and Pattern Recognition Chinese Academy of Sciences University of Science and Technology of China Dept. Mechanical and Automation Engineering The Chinese University of Hong Kong Guangdong Provincial Key Laboratory of Robotics and Intelligent System Chinese Academy of Sciences

In this paper, we propose a method based on the SVM algorithm to recognize dynamic hand gestures. The information of motion trajectory is captured by a leap motion in three-dimension space. A new methodology of feature extracting is proposed to guarantee the length of samples being the same. The elements of feature vectors are ranged according to two different criteria: one is the amplitude of the variation of orientation angles, and the other criterion is the order of the appearance of features. Experimental results show that this method can classify the dynamic hand gestures effectively.

关键词： Vectors Trajectory Feature extraction Equations Mathematical model Hidden Markov models Automation

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Dynamic hand gesture early recognition based on Hidden Semi-Markov Models

Dynamic hand gesture early recognition based on Hidden Semi-...

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IEEE International Conference on robotics and Biomimetics

作者： Qianqian Wang Yuanrong Xu Yen-Lun Chen Yong Wang Xinyu Wu University of Science and Technology of China Shenzhen Key Lab for Computer Vision and Pattern Recognition Chinese Academy of Sciences Dept. Mechanical and Automation Engineering The Chinese University of Hong Kong. Guangdong Provincial Key Laboratory of Robotics and Intelligent System Chinese Academy of Sciences

ISBN: (纸本)9781479973989

Real-time performance can be greatly improved, if the early recognition is implemented. In this paper, a dynamic hand gesture early recognition system is proposed. The system can recognize the gesture before it is completed. Our method is based on the Hidden Semi-Markov Models. Three-dimensional information of the gesture trajectory collected by leapmotion is the main data we used. Experiments on the dataset which we established demonstrate the effectiveness of our method.

关键词： Hidden Markov models Gesture recognition Training Conferences Trajectory Arrays

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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vision-based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization

Vision-based Lane Analysis: Exploration of Issues and Approa...

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IEEE Conference on computer vision and Pattern Recognition Workshops

作者： R. K. Satzoda Mohan M. Trivedi Computer Vision and Robotics Research Laboratory University of California

ISBN: (纸本)9781479909940

Lane feature extraction is one of the key computational steps in lane analysis systems. In this paper, we propose a lane feature extraction method, which enables different configurations of embedded solutions that address both accuracy and embedded systems' constraints. The proposed lane feature extraction process is evaluated in detail using real world lane data, to explore its effectiveness for embedded realization and adaptability to varying contextual information like lane types and environmental conditions.

关键词： Lanes Feature extraction Extraction processes embedding

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Crosswalk and traffic light detection via integral framework

Crosswalk and traffic light detection via integral framework

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Korea-Japan Joint Workshop on Frontiers of computer vision

作者： Jongwon Choi Byung Tae Ahn In So Kweon Robotics and Computer Vision Laboratory KAIST Daejeon South Korea

This research is conducted to detect crosswalks and traffic lights with small false positive and negative errors. We propose an integral framework of the algorithms. Crosswalk and traffic light detection based on vision are challenging problem because brightness and hue value of scene can be easily changed, and it causes a number of false positive and negative errors. In order to solve it, we integrate those two algorithms with an assumption that traffic light and crosswalk exist together frequently. The proposed algorithm is tested with movies captured by cameras located on a vehicle and results are compared with ground truth which was chosen manually. The proposed algorithms run in real-time and can be easily installed on vehicle.

关键词： Cameras Detection algorithms Vehicles Conferences computer vision Algorithm design and analysis Roads

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User modelling in adjustable control system

User modelling in adjustable control system

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International Symposium on Collaborative Technologies and Systems

作者： Thi-Hai-Ha Dang Adriana Tapus Robotics and Computer Vision Laboratory ENSTA-ParisTech Palaiseau France

ISBN: (纸本)9781467364034

A good adjustable control system is a system that can adapt its behaviors according to the user's state over time. While most researches in Human-Robot Cooperation focus on making the robotic system more efficient and effective in task accomplishment, we argue that very few works tried to model the human operator. In this paper, we discuss several aspects related to the human operator that we consider important for an efficient Human-Robot Cooperation. Furthermore, we present a tentative architecture of an adjustable control system, where these aspects are emphasized.

关键词： Robots Human-robot interaction Control systems Stress Psychology Adaptation models Physiology

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Path planning with Multiple Rapidly-exploring Random Trees for teams of robots

Path planning with Multiple Rapidly-exploring Random Trees f...

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2013 16th International Conference on Advanced robotics, ICAR 2013

作者： Alves Neto, Armando Macharet, Douglas Chaimowicz, Luiz Campos, Mario Telecommunication and Mechatronic Department Universidade Federal de São João Del-rei Campus Alto Paraopeba Brazil Computer Vision and Robotics Laboratory Computer Science Department Universidade Federal de Minas Gerais Brazil

ISBN: (纸本)9781479927227

This paper addresses the problem of real-time planning and control of a group of aerial vehicles flying in environments with obstacles and subject to disturbances and *** present a novel methodology to the coordination of multiple vehicles based on a classical technique known as Closed Loop Rapidly-exploring Random Trees (CL-RRT). We use a distributed processing framework and communication to optimize the plans being executed by each agent of the team, providing better solutions to the execution step of the CL-RRT. This technique endows each agent with the capability to navigate through the environment while avoiding collisions with obstacles as well as with other team agents. The keypoint is a prediction scheme executed by each robot that infers the behavior of the entire team at each time step. We show the applicability of the method by planning and executing waypoint navigation tasks for a group of Micro Unmanned Aerial Vehicles (MUAVs) - modelled in SE(3) - in outdoor environments. © 2013 IEEE.

关键词： Motion planning

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Vanishing point detection for CCTV in railway stations

Vanishing point detection for CCTV in railway stations

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5th International Conference on Imaging for Crime Detection and Prevention, ICDP 2013

作者： Tarrit, K. Atkinson, G.A. Smith, M.L. Molleda, J. Wright, G.C. Gaal, P. Centre for Machine Vision Bristol Robotics Laboratory University of the West of England Bristol United Kingdom Department of Computer Science and Engineering University of Oviedo Spain Aralia Systems Ltd. Horsham United Kingdom

ISBN: (纸本)9781849199049

Vanishing point (VP) detection is an important task in computer vision with particular importance in video surveillance. However, despite having numerous applications in camera calibration, 3D reconstruction and threat detection, a general method for VP detection has remained elusive. Rather than attempting the infeasible task of VP detection in general scenes, this paper presents a novel method that is fine-tuned to work for railway station environments and is shown to outperform the state-of-the-art for that particular case. The motivation for this is that (a) these environments are particularly susceptible to many types of crime from petty theft to terrorist activity, (b) the number of objects/structures in the scenes are limited, rendering the problem more tractable than the generic case, and (c) they typically have many CCTV cameras already installed. The method presented here commences by extracting edges from the input frame using the Canny edge detector as a pre-processing stage before the standard Hough transform is employed. A novel line clustering algorithm is then applied to determine the parameters of the lines that converge at VPs. This is based on statistics of the detected lines and heuristics about the type of scene. The clustered lines are then used to compute VPs using their intersection points. A voting system is used to optimise detection in an attempt to omit spurious lines. The paper includes a direct comparison to the state-of-the-art and ground truth.

关键词： Subway stations

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Evaluation of Registration Methods on Two-Dimensional Forward-Looking Sonar Imagery

Evaluation of Registration Methods on Two-Dimensional Forwar...

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Oceans 2013 - Norway

作者： Natalia Hurtos Sharad Nagappa Xavier Cufi Yvan Petillot Joaquim Salvi Computer Vision and Robotics Group University of Girona Ocean Systems Laboratory Heriot-Watt University

ISBN: (纸本)9781479900022

Two-dimensional forward-looking sonars such as Blueview or DIDSON are becoming a standard sensor in both remotely-operated and autonomous underwater vehicles. Registration of imagery obtained from this sensors is of great interest since it constitutes a key step in several applications like the generation of acoustic mosaics or the extraction of vehicle motion estimates from sonar imagery, specially on poor visibility conditions. However, the characteristics of these sonar images, such as low signal-to-noise ratio, low resolution and intensity alterations due to viewpoint changes pose a challenge to the traditional registration techniques applied on optical images. In this paper, the performance of popular registration methods commonly used in photomosaicing are evaluated on real sonar data, including feature-based methods and an area-based approach. Experiments are carried out on different environments, from man-made structured scenarios to more natural and featureless areas, and under challenging conditions such as viewpoint changes and the presence of different sonar-specific artifacts. After assessing the impact of all these factors on the different registration techniques, we show that Fourier-based registration method stands as the more robust option to register acoustic imagery.

关键词： Sonar imagery Registration Acoustic imagery sonar Restricted visibility Optical Imaging images Sensors Imagery (Psychotherapy)

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IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： Eshed Ohn-Bar Mohan M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego La Jolla CA USA

We propose a set of features derived from skeleton tracking of the human body and depth maps for the purpose of action recognition. The descriptors proposed are easy to implement, produce relatively small-sized feature sets, and the multi-class classification scheme is fast and suitable for real-time applications. We intuitively characterize actions using pairwise affinities between view-invariant joint angles features over the performance of an action. Additionally, a new descriptor for spatio-temporal feature extraction from color and depth images is introduced. This descriptor involves an application of a modified histogram of oriented gradients (HOG) algorithm. The application produces a feature set at every frame, and these features are collected into a 2D array which then the same algorithm is applied to again (the approach is termed HOG 2 ). Both feature sets are evaluated in a bag-of-words scheme using a linear SVM, showing state-of-the-art results on public datasets from different domains of human-computer interaction.

关键词： Joints Feature extraction Trajectory Vectors Histograms Accuracy

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