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检索条件"任意字段=4th Canadian Conference on Computer and Robot Vision"

共 476 条记录，以下是51-60 订阅

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4-DoF Tracking for robot Fine Manipulation Tasks 14

4-DoF Tracking for Robot Fine Manipulation Tasks

引用

14th conference on computer and robot vision (CRV)

作者： Siam, Mennatullah Singh, Abhineet Perez, Camilo Jagersand, Martin Univ Alberta Fac Comp Sci Edmonton AB Canada

ISBN: (纸本)9781538628188

this paper presents two visual trackers from the different paradigms of learning and registration based tracking and evaluates their application in image based visual servoing. they can track object motion with four degrees of freedom (DoF) which, as we will show here, is sufficient for many fine manipulation tasks. One of these trackers is a newly developed learning based tracker that relies on learning discriminative correlation filters while the other is a refinement of a recent 8 DoF RANSAC based tracker adapted with a new appearance model for tracking 4 DoF motion. Both trackers are shown to provide superior performance to several state of the art trackers on an existing dataset for manipulation tasks. Further, a new dataset with challenging sequences for fine manipulation tasks captured from robot mounted eye-in-hand (EIH) cameras is also presented. these sequences have a variety of challenges encountered during real tasks including jittery camera movement, motion blur, drastic scale changes and partial occlusions. Quantitative and qualitative results on these sequences are used to show that these two trackers are robust to failures while providing high precision that makes them suitable for such fine manipulation tasks.

关键词： visual tracking visual servoing robot manipulation

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Development of Tank-Based Military robot and Object Tracker 4

Development of Tank-Based Military Robot and Object Tracker

引用

4th Asia-Pacific conference on Intelligent robot Systems (ACIRS)

作者： Budiharto, Widodo Andreas, Vincent Suroso, Jarot S. Gunawan, Alexander Agung S. Irwansyah, Edy Bina Nusantara Univ Sch Comp Sci Comp Sci Dept Jakarta 11480 Indonesia Bina Nusantara Univ Informat Syst Management Dept BINUS Grad Program Master Informat Syst Managemen Jakarta 11480 Indonesia

ISBN: (纸本)9781728122298

Indonesia is a country whose economy is developing very fast. According to World Bank data, Indonesia is the country with the largest economic development in Southeast Asia. Unfortunately, the threat of terrorism in Indonesia is very large, therefore it requires a smart system such as military robots. Today's vision-based robot technology has also been used in the development of autonomous military robots. A sophisticated military robot is a robot that is needed by the military/police because it can be deployed to the battlefield or the eradication of terrorism in a remote or autonomous manner. this system is needed to reduce the remaining casualties from the army, and this combat robot system can also be operated at any time with more numbers than regular soldiers and with minimal operator needs. In this paper, we propose a prototype of a tank-based military robot with object detection and tracking and turrets for simulation of shooting the enemy target based on the computer vision. the object tracker will detect an upper body of the target using a library in OpenCV and the tank will track until it reaches the best position to shoot the target. the methods explained, and experimental results were presented.

关键词： military robot computer vision object tracker object detction turret

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Research of volleyball robot based on YOLOv8 lightweight and binocular vision 4

Research of volleyball robot based on YOLOv8 lightweight and...

引用

4th IEEE International conference on Data Science and computer Application, ICDSCA 2024

作者： Zhao, Yiyao Wang, Jiahui Cui, Yanjiang Zhan, Haonan Yu, Qing Zhao, Juju Dalian Polytechnic University Dalian China

ISBN: (纸本)9798350368239

the study of volleyball robot capture mechanism is a challenging problem, and how to realize real-time and high-precision capture is the focus of current research. In order to solve these problems, this paper designs a capture system based on an improved YOLO model and binocular vision scheme for the study of volleyball robot capture mechanism. By improving faster as the backbone network and introducing the EMA attention mechanism, the YOLO model is realized to be lightweight, and the parameter computation is reduced by 26.5%, which ensures the real-time performance of the volleyball robot;meanwhile, the accuracy is improved by 1.1%. On this basis, the improved YOLO is combined with an improved binocular vision scheme based on the principle of solving triangles to obtain the accurate world coordinate system of the volleyball relative to the disk, ensuring that the robot can solve the world coordinates of the volleyball in real time. In practical applications, the distance error within 2 meters is always kept within 1 cm. through experimental verification, the design scheme in this paper can effectively improve the real-time and accuracy of the robot capture mechanism, and make an important contribution to the development of the robot capture mechanism. ©2024 IEEE.

关键词： Binocular vision

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Real-time eye blink detection with GPU-based SIFT tracking

Real-time eye blink detection with GPU-based SIFT tracking

引用

4th canadian conference on computer and robot vision

作者： Lalonde, Marc Byrns, David Gagnon, Langis Teasdale, Normand Laurendeau, Denis CRIM R&D Dept 550 Sherbrooke WSuite 100 Montreal PQ H3A 1B9 Canada Univ Laval Dept Social & Prevent Med Quebec City PQ G1K 7P4 Canada Univ Laval Dept Elect & Comp Engn Quebec City PQ G1K 7P4 Canada

ISBN: (纸本)9780769527864

this paper reports on the implementation of a GPU-based, real-time eye blink detector on very low contrast images acquired under near-infrared illumination. this detector is part of a multi-sensor data acquisition and analysis system for driver performance assessment and training. Eye blinks are detected inside regions of interest that are aligned with the subject's eyes at initialization. Alignment is maintained through time by tracking SIFT feature points that are used to estimate the affine transformation between the initial face pose and the pose in subsequent frames. the GPU implementation of the SIFT feature point extraction algorithm ensures real-time processing. An eye blink detection rate of 97% is obtained on a video dataset of 33,000 frames showing 237 blinks from 22 subjects. ©2007 IEEE.

关键词： Real time control

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Multiple object tracking based on adaptive depth segmentation

Multiple object tracking based on adaptive depth segmentatio...

引用

5th canadian conference on computer and robot vision

作者： Parvizi, Ehsan Wu, Q. M. Jonathan Univ Windsor Dept Elect & Comp Engn Windsor ON N9B 3P4 Canada

ISBN: (纸本)9780769531533

In this paper, we propose a multiple object tracking algorithm in three-dimensional (3D) domain based on a state of the art, adaptive range segmentation method. the performance of segmentation processes has an important impact on the achieved tracking results. Furthermore, segmentation methods which perform best on intensity images will not necessarily achieve promising results when applied on depth images from a time-of-flight sensor Here, the employed unique segmentation promises a real-time tracking analysis, having a significantly high preprocessing efficiency. Our experiments confirm the robustness, as well as efficiency of the proposed approach.

关键词： Efficiency

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Development of an Environmentally Friendly IA Building Energy-Saving Machine robot with computer vision and Data Mining Algorithms 4

Development of an Environmentally Friendly IA Building Energ...

引用

4th International conference on Inventive Research in Computing Applications, ICIRCA 2022

作者： Dong, Zhao Hu, Yunpeng Chen, Xin Li, Min Qiu, Qingling School of Mechanical and Electrical Engineering Wuhan Business University Hubei Wuhan430056 China

ISBN: (数字)9781665497077

ISBN: (纸本)9781665497077

Development of an environmentally friendly IA building energy-saving machine robot with computer vision and data mining algorithms are discussed in the paper. For the intelligent system, the computer vision should be then integrated. the general process of vision based non-contact measurement can be divided into image acquisition, image preprocessing, target feature extraction, target feature analysis, etc. With this flow model, the novel energy-saving machine robot is considered with computer vision and data mining algorithm. the camera calibration is used to reduce the measurement error caused by lens distortion, calibrate again to obtain the corresponding relationship between pixel size and physical size. this designed model will better assist the analysis of the environmentally friendly IA building energy-saving machine. through the test on the performance, the effectiveness is validated. © 2022 IEEE.

关键词： computer vision

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Navigation Assistance for a BCI-controlled Humanoid robot 4

Navigation Assistance for a BCI-controlled Humanoid Robot

引用

4th IEEE Annual International conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)

作者： Petit, Damien Gergondet, Pierre Cherubini, Andrea Meilland, Maxime Comport, Andrew I. Kheddar, Abderrahmane CNRS AIST Joint Robot Lab JRL CRT UMI3218 Tsukuba Ibaraki Japan CNRS UM2 LIRMM Interact Digital Human Grp UMR5506 Montpellier France Univ Nice Sophia Antipolis CNRS I3S Lab Nice France

ISBN: (纸本)9781479936694

We present an assisted navigation scheme designed to control a humanoid robot via a brain computer interface in order to let it interact with the environment and with humans. the interface is based on the well-known steady-state visually evoked potentials (SSVEP) and the stimuli are integrated into the live feedback from the robot embedded camera displayed on a Head Mounted Display (HMD). One user controlled the HRP-2 humanoid robot in an experiment designed to measure the performance of the new navigation scheme based on visual SLAM feedback. the new navigation scheme performance is tested in an experience where the user is asked to navigate to a certain location in order to perform a task. It results that without the navigation assistance it is much more difficult to reach the appropriate pose for performing the task. the detailed results of the experiments are reported in this paper, and we discuss the possible improvements of our novel scheme.

关键词： Cameras Collision avoidance Humanoid robots Manuals Navigation robot vision systems Humanoid robots navigation robot vision system Cameras Collision avoidance Brain-computer Interfaces Helmet mounted displays

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Visual servoing of a 5-DOF mobile manipulator using a panoramic vision system

Visual servoing of a 5-DOF mobile manipulator using a panora...

引用

20th Annual canadian conference on Electrical and computer Engineering

作者： Zhang, Y. Mehrandezh, M. Univ Regina Fac Engn Regina SK S4S 0A2 Canada

ISBN: (纸本)9781424410200

In this paper, a novel visual servoing technique for a 5-DOF mobile manipulator with an eye-to-hand camera configuration is introduced the proposed technique can be categorized as an image based (or 2D) visual servoing using a fixed camera in conjunction with a conic mirror (aka, an omni-directional camera system) providing panoramic vision. Two fictitious landmarks mounted on robot's end-effector along with their mirror reflections, when viewed by the camera, provide enough information for 3D reasoning based on the four points viewed on the image plane. Instead of directly using the image features associated with these four points, five new image features are chosen to make the image Jacobian of full rank A dual estimation/control strategy based on Extended Kalman Filter (EKF) is utilized to (1) estimate camera's intrinsic and extrinsic parameters, and (2) track the coordinates of the landmarks and their reflections on the image plane. the relationship between the translational and rotational velocity of a frame attached to the robot's end-effector and rate of change of the proposed image features are fully formulated the robustness of the proposed visual servoing technique is illustrated through computer simulations.

关键词： visual servoing panoramic vision Kalman filter eye-to-hand configuration

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Autonomous Navigational System for an Industrial AGV using ROS and ZED Stereo Camera 2021

Autonomous Navigational System for an Industrial AGV using R...

引用

4th International conference on Electronics, Communications and Control Engineering (ICECC)

作者： Garcia-Rodriguez, Agustin Castillo-Garcia, Jose Gabriel Gonzalez-Hernandez, Hugo G. Reyes-Avendano, Jorge A. Mora-Salinas, Roberto J. Tecnol Monterrey Sch Engn & Sci Monterrey Mexico

ISBN: (纸本)9781450389129

this paper focuses on describing an implementation for an Ackermann-type vision-based Automated Guided Vehicle (AGV) used for the transportation of materials between and within industrial facilities. this implementation was done using a ZED Stereo Camera, robot Operating System (ROS), ORB-SLAM2, and Unitronics PLCs and MCUs. the solution proposes a self-localization within a map previously created driving the vehicle around the desired route, the following of such route, and stopping along whenever the operator designated that the vehicle should stop. the vehicle can follow and mimic the route in environments with controlled lighting conditions

关键词： AGV Ackermann robot Operating System (ROS) computer vision Pursuit Tracking Algorithm PID Industrial applications

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GRASPING VISUAL SYMMETRY

GRASPING VISUAL SYMMETRY

引用

4th INTERNATIONAL CONF ON computer vision ( ICCV 93 )

作者： BLAKE, A TAYLOR, M COX, A Univ of Oxford Oxford United Kingdom

ISBN: (纸本)0818638702

Visual representations are chosen to meet the requirements of specified tasks such as object recognition or stereoscopic matching. Related to symmetry based representations that have been used in pattern and object recognition, its structure is determined , not heuristically but precisely, by the nature of the grasping task. Its value is demonstrated by its incorporation into the control of robot that can manipulate objects under visual guidance.

关键词： computer vision

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