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16th International Conference on Pattern Recognition, ICPR 2002

作者： Abd-Almageed, Wael Smith, Christopher E. Electrical and Computer Engineering Department Robotics Artificial Intelligence and Vision Laboratory University of New Mexico AlbuquerqueNM87131 United States

ISBN: (纸本)0769516963

This paper introduces a new approach to statistical pressure snakes. It uses statistical modeling for both object and background to obtain a more robust pressure model. The Expectation Maximization (EM) algorithm is used to model the data into a Mixture of Gaussians (MoG). Bayesian theory is then employed as a decision making mechanism. Experimental results using the traditional pressure model and the new mixture pressure model demonstrate the effectiveness of the new models. © 2002 IEEE.

关键词： Mixtures

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Motion perception using spatiotemporal frequency analysis

Motion perception using spatiotemporal frequency analysis

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IEEE International Conference on Image Processing

作者： G. Ravichandran M.M. Trivedi Computer Vision and Robotics Research Laboratory Electrical and Computer Engineering Department Computer Vision and Robotics Research Laboratory Electrical and Computer Engineering Department University of Tennessee Knoxville TN USA

Motion information is extracted by identifying the temporal signature associated with the textured objects in the scene. We present a new computational framework for motion perception. Our methodology considers spatiotemporal frequency (STF) domain analysis to extract the optical flow information. First, we show that a sequence of image frames can be used to extract the motion parameters for the different regions in a dynamic scene using the basic Fourier transform properties in the STF analysis approach. A detailed analytical description of this model to interchangably extract motion and depth parameters and results to highlight their salient properties are presented.< >

关键词： Motion analysis Spatiotemporal phenomena Image motion analysis Data mining Layout Frequency domain analysis Information analysis Fourier transforms Image analysis Image sequence analysis

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A Lightweight Blockchain Framework for Visual Homing and Navigation Robots 1

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6th EAI International Conference on robotics and Networks, EAI ROSENET 2022

作者： Rahouti, Mohamed Lyons, Damian M. Santana, Lesther Fordham University New YorkNY United States Fordham University The BronxNY United States Robotics and Computer Vision Laboratory The BronxNY United States

ISBN: (数字)9783031338267

ISBN: (纸本)9783031338250

Visual homing is a lightweight approach to robot visual navigation. Based upon stored visual information of a home location, the navigation back to this location can be accomplished from any other location in which this location is visible by comparing home to the current image. However, a key challenge of visual homing is that the target home location must be within the robot’s field of view (FOV) to start homing. Therefore, this chapter addresses such a challenge by integrating blockchain technology into the visual homing navigation system. Based on the decentralized feature of blockchain, the proposed solution enables visual homing robots to share their visual homing information and synchronously access the stored data (visual homing information) in the decentralized ledger to establish the navigation path. The navigation path represents a per-robot sequence of views stored in the ledger. If the home location is not in the FOV, the proposed solution permits a robot to find another robot that can see the home location and travel toward that desired location. The evaluation results demonstrate the efficiency of the proposed framework in terms of end-to-end latency, throughput, and scalability. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Robots

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Particle filter-based predictive tracking for robust fish counting

Particle filter-based predictive tracking for robust fish co...

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SIBGRAPI 2005: 18th Brazilian Symposium on computer Graphics and Image Processing - Conference Proceedings

作者： Morais, Erikson F. Campos, Mario F. M. Pádua, Flávio L. C. Carceroni, Rodrigo L. UFMG-Universidade Federal de Minas Geais VERLab-Computer Vision and Robotics Laboratory Av. Antônio Carlos 6627 Belo Horizonte MG Brazil

ISBN: (纸本)0769523897

In this paper we study the use of computer vision techniques for for underwater visual tracking and counting of fishes in vivo. The methodology is based on the application of a Bayesian filtering technique that enables tracking of objects whose number may vary over time. Unlike existing fish-counting methods, this approach provides adequate means for the acquisition of relevant information about characteristics of different fish species such as swimming ability, time of migration and peak flow rates. The system is also able to estimate fish trajectories over time, which can be further used to study their behaviors when swimming in regions of interest. Our experiments demonstrate that the proposed method can operate reliably under severe environmental changes (e.g. variations in water turbidity) and handle problems such as occlusions or large inter-frame motions. The proposed approach was successfully validated with real-world video streams, achieving overall accuracy as high as 81%. © 2005 IEEE.

关键词： computer vision

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Complexity based investigation in collaborative assembly scenarios via non intrusive techniques 4

Complexity based investigation in collaborative assembly sce...

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4th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2022

作者： Panagou, Sotirios Sileo, Monica Papoutsakis, Konstantinos Fruggiero, Fabio Qammaz, Ammar Argyros, Antonis School of Engineering University of Basilicata Potenza85100 Italy Computational Vision and Robotics Laboratory Institute of Computer Science Foundation for Research and Technology - Hellas Heraklion70013 Greece

Human and robot collaboration in assembly tasks is an integral part in modern manufactories. Robots provide advantages in both process and productivity with their repeatability and usability in different tasks, while human operators provide flexibility and can act as safeguards. However, process complexity increases which can lower the overall quality. Increased complexity can negatively influence decision making due to cognitive load on human operators, which can lead to lower quality, be it product, process or human work. Moreover, it can lead to safety risks, human-system error and accidents. In this work, we present the preliminary results on an experiment performed with student-participants, based on an assembly task. The experiment was set up to emulate an industrial assembly, and data collection was performed through qualitative and non-intrusive quantitative methods. Questionnaires were used to assess perceptual task complexity and cognitive load, while a stereo camera provided recordings for after-task analysis on process errors and human work quality based on a 3D skeleton-based human pose estimation and tracking method. The aim of the study is to investigate causes of errors and implications on quality. Future direction of the work is discussed. © 2022 The Authors. Published by ELSEVIER B.V.

关键词： Decision making

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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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Category-level metric scale object shape and pose estimation

arXiv

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arXiv 2021年

作者： Lee, Taeyeop Lee, Byeong-Uk Kim, Myungchul Kweon, In So Robotics and Computer Vision Laboratory KAIST Daejeon Korea Republic of

Advances in deep learning recognition have led to accurate object detection with 2D images. However, these 2D perception methods are insufficient for complete 3D world information. Concurrently, advanced 3D shape estimation approaches focus on the shape itself, without considering metric scale. These methods cannot determine the accurate location and orientation of objects. To tackle this problem, we propose a framework that jointly estimates a metric scale shape and pose from a single RGB image. Our framework has two branches: the Metric Scale Object Shape branch (MSOS) and the Normalized Object Coordinate Space branch (NOCS). The MSOS branch estimates the metric scale shape observed in the camera coordinates. The NOCS branch predicts the normalized object coordinate space (NOCS) map and performs similarity transformation with the rendered depth map from a predicted metric scale mesh to obtain 6d pose and size. Additionally, we introduce the Normalized Object Center Estimation (NOCE) to estimate the geometrically aligned distance from the camera to the object center. We validated our method on both synthetic and real-world datasets to evaluate category-level object pose and shape. Copyright © 2021, The Authors. All rights reserved.

关键词： Cameras

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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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On describing a robotic scene

On describing a robotic scene

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Intelligent Robots and computer vision VI 1987

作者： Hayward, Vincent Aubry, Stéphane Computer Vision and Robotics Laboratory McGill Research Center for Intelligent Machines 3480 University Street MontréalQCH3A 2A7 Canada

The focus of this article is the presentation of the issues involved in the design of a system able to automatically or semi-automatically construct a global, world-centered model of an industrial scene. In a robotic context, the uses of such a model could be the detection and prevention of collisions, and the interactive off-line programming of manipulators. More generally, such a model can be useful for a variety of automation tasks, including graphic simulation and machining operations sequencing. We first review range acquisition and solid modelling techniques in light of' their respective appropriateness to the above problem. Then we explain how the process of constructing a scene differs from both object recognition and image processing, since we are a priori not interested in isolating distinguishing features of objects but rather in faithfully describing entire scenes. We also discuss how the merging of the several views of the scene is a central element of the scene acquisition process and how great care must be exercised in order to maintain connectivity consistency. Finally, we show that data acquisition, solid modelling as well the actual process of constructing the scene are closely interrelated and that these three issues, all of which are necessary components of the scene description process, should not be considered independently of each other. © 1988 SPIE. All rights reserved.

关键词： Manipulators

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Progress on the deictically controlled wheelchair

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Lecture Notes in computer Science

作者： Crisman, Jill D. Cleary, Michael E. Robotics and Vision Systems Laboratory Dept. of Electrical and Computer Engineering Northeastern University Boston MA 02115 United States College of Computer Science Northeastern University Boston MA 02115 United States

ISBN: (纸本)9783540647904

We aim to develop a robot which can be commanded simply and accurately, especially by users with reduced mobility. Our shared control approach divides task responsibilities between the user (high level) and the robot (low level). A video interface shared between the user and robot enables the use of a deictic interface. The paper describes our progress toward this goal in several areas. A complete command set has been developed which uses minimal environmental features. Our video tracking algorithms have proven robust on the types of targets used by the commands. Specialized hardware and new tactile and acoustic sensors have been developed. These and other advances are discussed, as well as planned work. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Robots

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