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检索条件"任意字段=1st Canadian Conference on Computer and Robot Vision"

共 308 条记录，以下是121-130 订阅

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Construction of a computer vision Test Platform: VISART for Facial Recognition in Social robotics 1st

Construction of a Computer Vision Test Platform: VISART for ...

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1st International conference on Applied Technologies (ICAT)

作者： Rodriguez, Edwin Gutierrez, Christian Ochoa, Cristian Travez, Freddy Escobar, Luis Loza, David Univ Fuerzas Armadas ESPE Dept Energy & Mech Sangolqui 170121 Pichincha Ecuador

ISBN: (纸本)9783030425203;9783030425197

robotics has undoubtedly found its way deeper into every day human tasks up to the point where now they even share workspaces with people. In this context, social robotics has increased its field of action, one important part is the advances in aspects that make up the Human-Machine Interaction. This article reports the advance that an investigation team at Universidad de las Fuerzas Armadas ESPE has done to create a test platform for computer vision algorithms. This approach consists of a 3-DOF articulated robotic head with anthropomorphic characteristics, considering the guidelines established by different authors for social robotics, besides it provides affordable, flexible and scalable hardware resources to facilitate the implementation, testing, analysis and development of different stereo artificial vision algorithms. The system, called Visart, is intended to work in more natural situations than independent cameras, therefore, work deeply in Human-robot Interaction. As the first report of the Visart prototype, some basic tests with the platform were performed, they consist of face detection, facial and expression recognition, object tracking, and object distance calculation. The results obtained were consistent, opening a door for further research focusing on the comparison of more computer vision algorithms to examine their performance in real scenarios and evaluate them more naturally with our prototype for Human-robot Interaction.

关键词： HRI computer vision Human-robot Interaction Anthropomorphic robot Social robotics

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The Development of an Intelligent robot Arm Playing chess with Human-robot Interaction 1

The Development of an Intelligent Robot Arm Playing chess wi...

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1st International conference on Health Science and Technology (ICHst)

作者： Thi Thoa Mac Trinh-Nhan Dam V. Thanh Tri Nguyen Ly Hoang Hiep Tien-Duc Nguyen Hanoi Univ Sci & Technol Sch Mech Engn Dept Mechatron Hanoi Vietnam

ISBN: (数字)9798350315714

ISBN: (纸本)9798350315714;9798350315721

Artificial Intelligence has grown significantly more complex and powerful than ever. Numerous top-tier techno companies compete strictly with high effort that enhances the quality of life and is making attempts to put their hands on this latest technology. Recreational activities play a significant role in every man's life, and thus, applying technology to this domain motivates development and paves the path to finding new values. AI has long been used as the engine for computation-heavy tasks, such as strategically demanding games like chess. Though the complexity of AI chess engines has reached its peak in recent years, direct face-to-face interaction between the players seems more appealing to the mate checkers. Compared to tapping on the screen, it is many times more attractive that chess players can physically go against a real-life robot in a competitive match. Such interaction would be further humanoid and further comfortable. This paper's main topic is constructing a physically capable Chess-Playing system powered by AI to compete against the player. The foundation of the Chess robot is based on the combination of mechanical mechanisms, AI engine, and 3D computer vision. The system is constructed with the model Reactor X150 robot, a 5-DOF ROS-controlled Mechanical Arm made by Troussen robotics. The powerful open-source chess engine stockfish, is the brain for computing the chess moves. The Norm algorithm detects the player's move through an attached camera by analyzing the differences between the before and after images. The robot makes the game much more interactive and builds a link between the human and computer systems.

关键词： component formatting style styling insert

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robot soccer team for robocup humanoid kidsize league 1st

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1st International conference on Interactive Collaborative robotics, ICR 2016

作者： Gomilko, stepan Zhulaeva, Darya Rimer, Dmitry Yakushin, Dmitry Mescheryakov, Roman Shandarov, Evgeny Tomsk Russia

This paper describes the RoboCup Humanoid KidSize team Photon. We used robotis DARwIn-OP robot platform and develop own software to create robot soccer team. We discuss about our software implementation of computer vi... 详细信息

ISBN: (纸本)9783319439549

关键词： Anthropomorphic robots

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RoboFI: Autonomous Path Follower robot for Human Body Detection and Geolocalization for Search and Rescue Missions using computer vision and IoT 1

RoboFI: Autonomous Path Follower Robot for Human Body Detect...

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1st International conference on Advances in Science, Engineering and robotics Technology, ICASERT 2019

作者： Imteaj, Ahmed Isfar Jubair Chowdhury, M.A. Farshid, Mohammad Shahid, Abdur R Florida International University School of Computing and Information Sciences MiamiFL33199 United States International Islamic University Department of Computer Science and Engineering Chittagong Bangladesh

ISBN: (纸本)9781728134451

Numerous loss of lives is seen each year and the sum is consistently expanding because of destruction, fiasco, cataclysm and so forth these incorporate natural and man-made fiascoes. To counter this we have structured a rescue robot that is autonomous, it pursues track way by dint of 3 ultrasonic sensors in the front. For the processing work Raspberry Pi Model B is utilized which incorporates a grouping of single board processors. The smaller card size is handful as we are utilizing 4wd Car Chassis and a motor controller to drive it through. The robot features computer vision and raspberry pi camera module is used to help with the vision. We trained the camera utilizing algorithm to empower it identify movement, consequently after detecting movement the robot utilizes PIR to detect and affirm human presence. When human life is recognized in a destructed place the web application helps us to observe the live streaming of that found human and the closest environment. The coordination of GPS Module gives us a chance to see the area of where rescue activity is occurring. The web application that is designed by us likewise gives us a chance to do as such. After rescuing the detected individual, it goes on its merry way in repeating the flow of work that is assigned to it helping achieve maximum amount of success and lives saved. The reality to stun is, all these are incorporated in a solitary car chassis and the expense behind the work is insignificant. The reason is utilizing raspberry pi and our work to make a pi camera module ready to recognize movement by help of raspberry pi while incredible and expensive processors are required by and large. © 2019 IEEE.

关键词： Collision avoidance

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Distance measure with computer vision and neural networks for underwater applications 1

Distance measure with computer vision and neural networks fo...

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1st IEEE Colombian conference on robotics and Automation (CCRA)

作者： Aristizabal, Luis M. Zuluaga, Carlos A. Univ Pontificia Bolivariana Grp AD Automat & Diseno Res Grp Medellin Antioquia Colombia

ISBN: (纸本)9781509037872

This document describes a distance measurement system for underwater applications with computer vision and an Artificial Neural Network (ANN). The developed system is installed in the observation class remotely operated vehicle (ROV) VISOR3, to be used in experimental testing. An integrated camera with two laser pointers are used to obtain input data to a Multi-Layer Perceptron (MLP) ANN, trained with a resilient backpropagation algorithm (RPROP). The solution described in this paper is an alternative to other methods found in the literature. Experimental results are presented.

关键词： Neural networks

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Investigating the potential combination of GPS and scale invariant visual landmarks for robust outdoor cross-country navigation

Investigating the potential combination of GPS and scale inv...

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1st International conference on computer vision Theory and Applications

作者： Andersen, H. J. Dideriksen, T. L. Madsen, C. Holte, M. B. Aalborg Univ Comp Vis & Media Lab Aalborg Denmark

ISBN: (纸本)9728865406

Safe, robust operation of an autonomous vehicle in cross-country environments relies on sensing of the surroundings. Thanks to the reduced cost of vision hardware, and increasing computational power, computer vision has become an attractive alternative for this task. This paper concentrates on the use of stereo vision for navigation in cross-country environments. For visual navigation the Scale Invariant Feature Transform, SIFT, is used to locate interest points that are matched between successive stereo image pairs. In this way the ego-motion of a autonomous platform may be estimated by least squares estimation of the interest points in current and previous frame. The paper investigate the situation where GPS become unreliable due to occlusion from for example trees. In this case, however, SIFT based navigation has the advantage that it is possible to locate sufficient interest points close to the robot platform for robust estimation of its ego-motion. In contrast GPS may provide very stable navigation in an open cross-country environment where the interest points from the visual based navigation are sparse and located far from the robot and hence gives a very uncertain position estimate. As a result the paper demonstrates that a combination of the two methods is a way forward for development of robust navigation of robots in a cross country environment.

关键词： computer vision natural landmarks visual odometry robotics stereo vision GPS navigation

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Performance evaluation of the unified pulse-replacement (UPR) algorithm for 3GPP-AMR 12.2k speech coder

Performance evaluation of the unified pulse-replacement (UPR...

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1st International conference on robot, vision and Signal Processing, RVSP 2011

作者： Chen, Fu-Kun Chen, Guan-Ming Jou, Yue-Dar Department of Computer Science and Information Engineering Southern Taiwan University Yong-Kang Dist. Tainan City Taiwan Department of Electrical Engineering ROC Military Academy Fengshan Dist. Kaohsiung Taiwan

ISBN: (纸本)9780769545813

The algebraic code excited linear prediction (ACELP) structure has been adopted by many speech coding standards because of its high speech quality. With analysis-bysynthesis optimizations, the ACELP speech coder can provide an efficient coding technique for the linear predicted residuals. This paper introduces the unified pulse-replacement (UPR) algorithm again and evaluates its performance for the 3GPPAMR 12.2k speech coder. Simulation results show that the UPR algorithm can reduce the computational complexity of 3GPP-AMR speech coder with an imperceptible degradation of speech quality. © 2011 IEEE.

关键词： Speech coding

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Disparity-Based Robust Unstructured Terrain Segmentation 1st

Disparity-Based Robust Unstructured Terrain Segmentation

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1st Chinese conference on Pattern Recognition and computer vision (PRCV)

作者： Zhang, Pengbo Ma, Xinzhu Wang, Zhihui Li, Haojie Luo, Zhongxuan Dalian Univ Technol 321 Tuqiang St Dalian Liaoning Peoples R China

ISBN: (纸本)9783030033415;9783030033408

Autonomous robot navigation in unstructured outdoor environment is still a challenging problem, and the terrain segmentation is one of the key tasks in robot navigation. Previous methods work well on common terrains like urban roads, but tend to fail in wild conditions due to different illumination, weather and road variations. In this paper, we propose a novel two branches terrain segmentation network based on disparity map and ground plane fitting, introducing geometric characteristics into the network. The terrain segmentation main branch uses convolutional feature layers with multiple sampling rates filters, which effectively considers local and global context information and smooths the holey information in the disparity map. The enhancement branch exploits plane geometry property of the ground plane deviation map calculated from the disparity map, which adaptively generates reference feature maps for improving the robustness of identifying traversable areas under conditions of unseen terrains. Experimental results demonstrate excellent performance of the proposed method on terrain segmentation both qualitatively and quantitatively.

关键词： Terrain segmentation Disparity-based Plane geometry property Convolutional neural network

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Human operator cognitive availability aware Mixed-Initiative control 1

Human operator cognitive availability aware Mixed-Initiative...

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1st IEEE International conference on Human-Machine Systems (ICHMS)

作者： Petousakis, Giannis Chiou, Manolis Nikolaou, Grigoris stolkin, Rustam Univ West Attica Egaleo Greece Univ Birmingham Extreme Robot Lab ERL Birmingham W Midlands England Univ Birmingham Natl Ctr Nucl Robot NCNR Birmingham W Midlands England

ISBN: (纸本)9781728158716

This paper presents a Cognitive Availability Aware Mixed-Initiative Controller for remotely operated mobile robots. The controller enables dynamic switching between different levels of autonomy (LOA), initiated by either the AI and/or the human operator. The controller leverages a state-of-the-art computer vision method and an off-the-shelf web camera to infer the cognitive availability of the operator and inform the AI-initiated LOA switching. This constitutes a qualitative advancement over previous Mixed-Initiative (MI) controllers. The controller is evaluated in a disaster response experiment, in which human operators have to conduct an exploration task with a remote robot. MI systems are shown to effectively assist the operators, as demonstrated by quantitative and qualitative results in performance and workload. Additionally, some insights into the experimental difficulties of evaluating complex MI controllers are presented.

关键词： Controllers

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Motion segmentation by learning homography matrices from motor signals

Motion segmentation by learning homography matrices from mot...

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canadian conference on computer and robot vision

作者： Xu, Changhai Liu, Jingen Kuipers, Benjamin Department of Computer Science University of Texas at Austin 1 University Station Austin TX 78712 United States Computer Science and Engineering University of Michigan 2260 Hayward Street Ann Arbor MI 48109 United States

ISBN: (纸本)9780769543628

Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the background (from the robot's egocentric view) has stronger correlation to the robot's motor signals than the motion of foreground objects, we propose a novel method to detect foreground moving objects by clustering image features according to their motion consistency with motor signals. Corner/edge features are detected and tracked across adjacent frames. The errors between the estimated feature locations based on motor signals and their actual tracked locations are calculated. The features are clustered into background/foreground using Expectation-Maximization on these errors. Labeled features are then used for pixel-level image segmentation with the Active Contours and Graph-based Transduction techniques. Unlike pixel-level background subtraction methods, the proposed approach does not require a large number of frames for background model construction, and does not suffer from accumulated image registration error for dynamic cameras. In contrast to existing sparse feature based foreground/background separation methods, our approach clusters features in only one dimensional space instead of a higher dimensional space, and there is no need to search for parameters in an affine or homography transformation space or motion trajectory space. © 2011 IEEE.

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