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检索条件"任意字段=6th Canadian Conference on Computer and Robot Vision"

共 362 条记录，以下是61-70 订阅

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Constructing face image logs that are both complete and concise

Constructing face image logs that are both complete and conc...

引用

4th canadian conference on computer and robot vision

作者： Fourney, Adam Laganiere, Robert Univ Ottawa Sch Informat Technol & Engn Ottawa ON K1N 6N5 Canada

ISBN: (纸本)9780769527864

this paper describes a construct that we call a face image log. Face image logs are collections of time stamped images representing faces detected in surveillance videos. the techniques demonstrated in this paper strive to construct face image logs that are complete and concise in the sense that the logs contain only the best images available for each individual observed. We begin by describing how to assess and compare the quality of face images. We then illustrate a robust method for selecting high quality images. this selection process takes into consideration the limitations inherent in existing face detection and person tracking techniques. Experimental results demonstrate that face logs constructed in this manner generally contain fewer than 5% of all detected faces, yet these faces are of high quality, and they represent all individuals detected in the video sequence. © 2007 IEEE.

关键词： Face recognition

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Achieving a Fitts Law relationship for visual guided reaching

Achieving a Fitts Law relationship for visual guided reachin...

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6th International conference on computer vision

作者： Ferrier, NJ Univ Wisconsin Dept Mech Engn Madison WI 53706 USA

ISBN: (纸本)8173192219

In order to take advantage of the top speed of manipulators vision can not be tightly integrated into the motion control loop. Past visual servo control systems have performed satisfactorily with this constraint, however it can be shown that the task execution time can be reduced if the vision system is de-coupled from the low level motor control system. For reaching, there is a trade-off between the accuracy of a motion and the time required to execute a motion. In studies of human motor control this trade-off is quantified by Fitts Law, a relationship between the motion time, the target distance, and the target width. these studies suggest that vision is not used tightly within the control loop, i.e. as ct sensor that is servo-ed on, but rather vision is used to determine where the reaching target is and whether target has been reached successfully. through a simple robotic example we demonstrate that a similar trade off exists between motion accuracy, and the motion execution time for visual guided robot reaching motions.

关键词： computer vision

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RAMCIP robot: A Personal robotic Assistant;Demonstration of a Complete Framework 15th

RAMCIP Robot: A Personal Robotic Assistant;Demonstration of ...

引用

15th European conference on computer vision (ECCV)

作者： Kostavelis, Ioannis Giakoumis, Dimitrios Peleka, Georgia Kargakos, Andreas Skartados, Evangelos Vasileiadis, Manolis Tzovaras, Dimitrios Hellas Informat Technol Inst CERTH ITI Ctr Res & Technol 6th Km Charilaou Thermi Rd Thessaloniki 57001 Greece Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England

ISBN: (纸本)9783030110246;9783030110239

At the last decades, personal domestic robots are considered as the future for tackling the societal challenge inherent in the growing elderly population. Ageing is typically associated with physical and cognitive decline, altering the way an older person moves around the house, manipulates objects and senses the home environment. this paper aims to demonstrate the RAMCIP robot, which is a robotic Assistant for patients with Mild Cognitive Impairments (MCI), suitable to provide its services in domestic environments. the use cases that the robot addresses are described herein outlining the necessary requirements that set the basis for the software and hardware architectural components. A short description of the integrated cognitive, perception, manipulation and navigation capabilities of the robot is provided. robot's autonomy is enabled through a specific decision making and task planning framework. the robot has been evaluated in ten real home environments of real MCI users exhibiting remarkable performance.

关键词： robotic Assistant Integrated framework Manipulation Navigation Perception Task planning Decision making MCI

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Evaluation of self-localization performance for a local vision robot in the small size league

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6th robot World Cup Soccer and Rescue Competitions and conference (RoboCup 2002)

作者： Sekimori, D Usui, T Masutani, Y Miyasaki, F Akashi Coll Technol Akashi Hyogo 6748501 Japan Osaka Univ Toyonaka Osaka 5608531 Japan

ISBN: (纸本)3540406662

the main purpose of this paper is to examine the upper limits of self-localization ability using a local-vision system in the RoboCup Small Size League. Using an omni-directional vision system on a mobile robot, we originally developed a self-localization method based on imaging of the floor region. However, we could not explore its full potential because of a quantization error in the images. therefore, we developed a self-localization method that allowed for better estimates of values than by individual methods, by integrating omni-directional vision and dead reckoning with the Kalman filter. this paper describes the algorithms and experimental results with an actual robot. In addition, we examine error recovery when the robot position changes due to collision with other objects and human intervention in the RoboCup competition.

关键词： computer vision

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Monocular camera-based go-to-goal control of holonomic robots 6

Monocular camera-based go-to-goal control of holonomic robot...

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6th International conference for Convergence in Technology (I2CT)

作者： Vikas, C. M. Rao, Sachit Int Inst Informat Technol Bangalore Karnataka India

ISBN: (纸本)9781728188768

Visual servoing in autonomous mobile robots has received significant interest in recent times as navigation of the robots can be performed without the use of external sensors, such as GPS or beacons. A commonly performed task by such robots is to move to target locations in their working environment. By fixing these locations with unique well-known visual markers, such as a "plus" symbol in a helipad, using on-board cameras to identify these visual markers, and on-board hardware to process the images, the robots can be made to navigate to them. In this paper, we propose a simple and efficient vision-based "go-to-goal" (GtG) algorithm for a holonomic mobile robot equipped with a single monocular camera. the goal is identified by a marker with known dimensions and is calibrated for the camera. With this information, the GtG algorithm enables the robot to move to this marker from any position in the environment. Simulation results, derived from experiments performed in the ROS environment, demonstrate its operation and features.

关键词： computer vision Holonomic robots Monocular camera Visual servoing

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A Build Your Own robot Manipulator for Manufacturing Education 6

A Build Your Own Robot Manipulator for Manufacturing Educati...

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6th International conference on computer Applications In Electrical Engineering-Recent Advances (CERA)

作者： Mitabe, Y. Sathyakumar, N. Parthiban, C. G. Rajaganapathi, S. Pandian, S. R. Ritsumeikan Univ Dept Robot Kusatsu Shiga 5258577 Japan Indian Inst Informat Technol Design & Mfg Kanchee Teaching Learning Ctr Design & Mfg Educ Madras 600127 Tamil Nadu India Indian Inst Informat Technol Design & Mfg Kanchee Dept Elect Engn Madras 600127 Tamil Nadu India

ISBN: (纸本)9781509048748

robotics is one of the major disruptive technologies of our time, and offers significant opportunities for innovation and competitiveness in the global marketplace. However, in resource-poor countries like India, engineering education is hampered by a lack of access to affordable and innovative hands-on practical education modules for the laboratory. this is especially the case in emerging disciplines like robotics. Moreover, expensive commercial grade robots offer limited scope for experimentation and learning outcomes in an academic setting. this situation can be remedied with the increasing affordability and versatility of open source hardware like microcontrollers and microcomputers, commercial off-the-shelf components like motors, actuators, sensors and power transmission mechanisms, as well as free, open source software. In this paper, a low-cost build your own (BYO) three-link electrically actuated robot manipulator is designed and developed for adoption in robotics and mechatronics laboratory courses. It can be disseminated and adapted on a wide scale at affordable cost for hands-on manufacturing education.

关键词： robotics Multi-link manipulator Sensing Kinematics Control computer vision

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A calibration method for the vision system of go-robot 6

A calibration method for the vision system of go-robot

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6th International conference on Systems and Informatics, ICSAI 2019

作者： Song, Jie Yang, Miaozhong School of Computer Science and Technology AnHui University HeFei China

ISBN: (纸本)9781728152561

In order to solve the problem of high calibration failure rate of go-robot vision system caused by factors such as the poor background environment and poor shooting conditions, an advanced chessboard corner detection algorithm was proposed for calibration. Firstly, the outer border of chessboard is identified based on watershed segmentation algorithm. then construct a chessboard reference model and use the projection transformation to extract the complete board from the complex background based on the four corners of the outer border. Secondly, detect the chessboard lines by Hough Transform and record the intersection points. Finally, all the intersection points are transformed into the chessboard reference model, keep the correct corner points that are matched, and all the correct corner points are projected into the real image. the experimental results show that the proposed method is superior to the popular FAST, improved SUSAN, and Harris chessboard corner detection methods in terms of detection accuracy and computational efficiency. And it can be used for the calibration of the go-robot vision system. © 2019 IEEE.

关键词： Calibration

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An autonomous robotic system for collecting garbage over small water bodies 6

An autonomous robotic system for collecting garbage over sma...

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6th International conference on Automation, Control and robotics Engineering, CACRE 2021

作者： Hasany, Syed Nouman Zaidi, Saniya Shah Sohail, Syed Ahmad Farhan, Muhammad Electrical Engineering Program Habib University Karachi Pakistan Computer Science Program Habib University Karachi Pakistan Electrical and Computer Engineering Program Habib University Karachi Pakistan

ISBN: (纸本)9781665435765

Water pollution is a grave problem requiring utmost attention as it directly affects marine lives. In freshwater ecosystem, for example, lakes and ponds, a major chunk of water garbage is plastic floating on the surface of water which is labor intensive to collect manually. In this paper, we present a novel autonomous robotic system capable of navigating small water bodies and is equipped with computer vision that helps it to detect the garbage. the detection is followed by focusing on an area of interest to determine whether the garbage lies in the scope of robot for collection. Additionally, if WiFi communication is available, the robot has the provision of tracking the detected garbage to determine its path. the design of garbage collection unit of the robot ensures the garbage does not move outward once collected. the robot is tested in two different pools and with plastic bottles as main type of garbage. the results manifest the high degree of control of its locomotion as well as of detection and collection of the bottles. the deep neural network based detector onboard the robot can be retrained after self-collection of appropriate data to detect other types of garbage as well. © 2021 IEEE.

关键词： Plastic bottles

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Real-Time robot Trajectory Correction through computer vision: a Welding Application in the Automotive Industry 6

Real-Time Robot Trajectory Correction through Computer Visio...

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6th International conference on robot Systems and Applications (ICRSA)

作者： Souza, Bruno J. da Silva, Tiago M. Mayer, Fernando R. Cecchetti, Vitoria B. Szejka, Anderson L. Freire, Roberto Z. Pontif Catholic Univ Parana PUCPR Curitiba Parana Brazil Univ Tecnol Fed Parana UTFPR Curitiba Parana Brazil

ISBN: (纸本)9798400708039

To ensure the optimal performance of welding robots in industrial applications, the elements to be welded must be accurately positioned. Additionally, elements that do not meet the quality standards can negatively influence the welding process. In this sense, failures may result in incorrect welding, leading to various structural issues within the assembly, where manual rework may be necessary to correct the errors. this work consists of developing an embedded image processing system to collect the appropriate coordinates where welds should be made on the structure of a car backrest, to adapt the trajectory of a welding robot, improving the quality and reducing the need for reworking the parts. To accomplish this application, an image acquisition system was developed. the image was processed so that it could be sent to the robot controller, which modifies the coordinates of certain movement points to correct the welding trajectory by applying an offset along the required points. To assess the effectiveness of the system, 160 weld points were tested, and 159 were found to be within the required margin of error, with only one point exhibiting a variation of 0.07 mm greater than the average in one direction. Another test performed was considering three wrong positioning of the pieces, the intention was to verify if the system could absorb these errors, thus proving the project's operation.

关键词： Adaptive Trajectory Communication Protocols computer vision Industrial Welding robotics

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A vision-Based Fruit Packaging robot 6

A Vision-Based Fruit Packaging Robot

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6th IEEE International conference on computer and Communication Systems, ICCCS 2021

作者： Yang, Guanhao Liu, Xianyong Zhong, Oiubo Lei, Oujiang Wu, Zengwen Jin, Jintao Ningbo University of Technology Ningbo China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China University of Chinese Academy of Sciences

ISBN: (纸本)9780738126043

the rapid development of computer vision makes human-computer interaction possible and has a wide application prospect. Since the first case of COVID-19 was found, up to now, the global number of infected people has reached 119220681 [1]. In China, although the epidemic is under control, affected by the external environment, the epidemic will also spread through cold chain transportation, and imported fruits may also carry the virus. In order to solve this problem, based on deep learning, we collected 300 fruit images and used YOLOV5 to recognize some common fruit images. the experimental results are shown in the proposed method, and the average accuracy can reach about 84%. © 2021 IEEE.

关键词： COVID-19

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