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An Image Matching and Object Recognition System using Webcam robot 4

An Image Matching and Object Recognition System using Webcam...

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4th IEEE International conference on Parallel, Distributed and Grid Computing (IEEE PDGC)

作者： Yadav, Sanjana Singh, Archana Hindustan Coll Sci Technol Dept Comp Sci & Engn Mathura Uttar Pradesh India Hindustan Coll Sci Technol Dept Informat Technol Mathura Uttar Pradesh India

ISBN: (纸本)9781509036691

Finding relation among multiple images is a core and vital step in the field of computer vision. this can be achieved if we can track correspondence over consecutive frames in an image and then matching among them can be identified. this paper proposes a precise approach for image matching in real time scenario and also in the field of robotICS. We arc constructing an application based Image matching model that can detect images that are exactly the same, as well as images that have been edited in some ways. Implementation of this Image Matching and object recognition system is based on tracking an object, calculating its feature Points, and classification with the help of trained Data Sets. the system is capable to perform matching of images, both automatically and manually. On the other hand, to operate the proposed system manually, user itself takes the images of an object or something, and will store it in database. After that system will through some steps, and image matching will be performed. Black & White point calculation of an image, Chamfer matching Algorithm, 3-4 Distance Transformation with canny edge detector is applied in the application which is well suited for calculating the pixel values. the whole system is reliable and capable to match the two images in Digital Image Processing.

关键词： Chamfer matching Gradient Edge detection Image matching thresholding

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A method of vision-based navigation for rescue robots using motion information 28

A method of vision-based navigation for rescue robots using ...

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IEEE 28th canadian conference on Electrical and computer Engineering (CCECE)

作者： Luo, Jun Yan, Chunming Pu, Huayan Liu, Hengli Xie, Shaorong Gu, Jason Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200072 Peoples R China Dalhousie Univ Dept Elect & Comp Engn Halifax NS B3J 2X4 Canada

ISBN: (纸本)9781479958290

An effective and accurate navigation for rescue robots in some human inaccessible sites is very necessary. this paper proposes a method of vision-based navigation with high accuracy and real-time capability. Firstly, the system overview and the experimental platform are presented. then an image processing algorithm using classic theories, which resulted in less calculated amount, is introduced to detect the guidance line. Lastly, the control model based on the results of image processing and motion information of the robot which makes the control more precise is developed. the results of the experiments show the feasibility of this method.

关键词： computer vision robotic navigation coordinate transformation tracked mobile robot

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Visual-based machine understanding framework for decision making on social robot 4

Visual-based machine understanding framework for decision ma...

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4th International conference on Interactive Digital Media, ICIDM 2015

作者： Marzuki Sukoco, Agus Febrianti, Maria S. School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Computer Science Faculty Bandar Lampung University Lampung Indonesia

ISBN: (纸本)9781509016693

Social robot acts based on any perceived information to interact and communicate with humans or other robots. One essential type of information is visual-based information captured by camera. Visual data from camera is processed to extract essential information through different perspectives such as gesture detection, facial recognition, sign and object detection, and text understanding. As an intelligent agent, the social robot should be able to determine and perform socially rational action autonomously based on the processed information. In this paper, a general framework of visual-based information process to produce rational action is presented. the proposed architecture is implemented on a platform of humanoid robot as a test subject. © 2015 IEEE.

关键词： computer vision

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Multiple Drosophila Tracking and Posture Estimation Algorithm 4

Multiple Drosophila Tracking and Posture Estimation Algorith...

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4th International conference on Informatics, Electronics & vision (lCIEV)

作者： Arai, Shogo Sirigrivatanawong, Pudith Hashimoto, Koichi Tohoku Univ Grad Sch Informat Sci Sendai Miyagi Japan

ISBN: (纸本)9781467369022

the analysis of animal locomotion is critical for characterizing and ultimately understanding behaviour. While locomotion quantification of single animals is straightforward, simultaneous analysis of multiple animals in a group is challenging. If performed manually, such analyses are labour-intensive and potentially unreliable, thereby necessitating the use of machine vision algorithms for automatic processing. Machine vision algorithms need to reliably label each animal and maintain all animal identities throughout the video-recorded experiment. this allows detailed characterization of behaviours such as taxis, locomotion and social interaction. In this study, we present an algorithm for analysing the locomotion behaviour of the fruit fly Drosophila melanogaster, a popular model organism in neurobiology. Our algorithm detects all flies inside a circular arena, determines their position and orientation and assigns fly identities between consecutive frame pairs. Position and orientation of the flies are accurately estimated with average errors of 0.108 +/- 0.006 mm (approximately 5 % of fly body length) and 2.2 +/- 0.2 degrees, respectively. Importantly, fly identity is correctly assigned in 99.5% of the cases. Our algorithm can be used to quantify the linear and angular velocities of walking flies in the presence or absence of various behaviourally important stimuli.

关键词： computer vision pose estimation Drosophila melanogaster animal locomotion animal locomotion quantification machine vision algorithm multiple Drosophila tracking neurobiology posture estimation algorithm Algorithm design and analysis Animals Approximation algorithms Approximation methods Machine vision Merging Neurons robot vision Algorithm design and analysis neurobiology pose estimation Approximation method Approximation algorithms merger Drosophila melanogaster Flies Animal Locomotion Biomechanics images computer vision Animals personal identity

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A Virtual Simulation of the Image Based Self-navigation of Mobile robots 4th

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4th computer Science On-line conference (CSOC)

作者： Teclaw, Mateusz Lech, Piotr Okarma, Krzysztof West Pomeranian Univ Technol Fac Elect Engn Dept Signal Proc & Multimedia Engn PL-71126 Szczecin Poland

ISBN: (纸本)9783319185033;9783319185026

the paper concerns with the problem of fully visual self-navigation of mobile robots based on the analysis of similarity of images, acquired by the cameras mounted on the robot, with some previously captured images stored in a database. In order to simplify and speed-up the extraction of the necessary data from the image database it is assumed that the rough position of the robot is known e.g. based on the GPS module or some other sensors. Due to the application of the image analysis methods, the accuracy of the self-positioning of the robot can be significantly improved leading to fully visual self-navigation of autonomous mobile robots, assuming their continuous access to the image database. In order to verify the validity of the proposed approach, the virtual simulation environment based on the Simbad 3D robot simulator has been prepared. the initial results presented in the paper, obtained for synthetic images captured by the virtual robots, confirm the usefulness of the proposed approach being a good starting point for future experiments using the real images captured by the physical mobile robot also in various lighting conditions.

关键词： machine vision visual robot navigation mobile robots

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3d computer vision: From points to concepts 4th

3d computer vision: From points to concepts

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4th International conference on Pattern Recognition Applications and Methods, ICPRAM 2015

作者： Alexandre, Luís A. Department of Informatics and Instituto de Telecomunicações University of Beira Interior Covilhã Portugal

ISBN: (纸本)9783319276762

the emergence of cheap structured light sensors, like the Kinect, opened the door to an increased interest in all matters related to the processing of 3D visual data. Applications for these technologies are abundant, from robot vision to 3D scanning. In this paper we go through the main steps used on a typical 3D vision system, from sensors and point clouds up to understanding the scene contents, including key point detectors, descriptors, set distances, object recognition and tracking and the biological motivation for some of these methods. We present several approaches developed at our lab and some current challenges. © Springer International Publishing Switzerland 2015.

关键词： Object recognition

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An obstacle detection system for a mobile robot based on radar-vision fusion 4th

An obstacle detection system for a mobile robot based on rad...

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4th International conference on computer Engineering and Networks, CENet2014

作者： Chen, Xiao Ren, Weiwu Liu, Mingyang Jin, Lisheng Bai, Yue College of Information and Technology Jilin Agriculture University Changchun130000 China College of Computer Science and Technology Changchun University of Science and Technology Changchun130022 China College of Instrument Science and Electrical Engineering Jilin University Changchun130000 China College of Traffic Jilin University Changchun130000 China Northeast Normal University Changchun130000 China

ISBN: (纸本)9783319111032

this paper presents a systematic scheme for obstacle detection using infrared radar and a monocular vision sensor. On the basis of the visual attention method we use fusion of infrared radar and vision data to obtain better detection performance. In the vision module, salient detection is invalid when no obstacle is present in an image. But infrared radar is used to detect and pre-locate objects. then vision module locate objects by salient location method. Lastly, we test our radarvision system in an indoor simulation environment, and our experiments show that the method is both rapid and feasible. © Springer International Publishing Switzerland 2015.

关键词： Tracking radar

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Visual-based Machine Understanding Framework for Decision Making on Social robot 4th

Visual-based Machine Understanding Framework for Decision Ma...

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International conference on Interactive Digital and Media

作者： Marzuki Agus Sukoco Maria S. Febrianti School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Computer Science Faculty Bandar Lampung University Lampung Indonesia

ISBN: (纸本)9781509016709

关键词： social robot rational action computer vision image processing

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Study on the substation inspection robot navigation system based on Fuzzy-PID control

Study on the substation inspection robot navigation system b...

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2015 4th International conference on computer, Mechatronics, Control and Electronic Engineering (ICCMCEE 2015)

作者： Suiqun LI Lecai CAI Xiang Gao Yong Wang Yonghong Zhu School of SI Chuan University of Science & Engineering School of YI BIN University

ISBN: (纸本)9781510813465

Based appear for magnetic navigation system for substation inspection robot navigation course accumulation of errors phenomenon, fuzzy PID control algorithm is applied to inspection robot navigation system, navigation path through the logic of correction, to achieve stability navigation. On the movement patterns of inspection robot is modeled using fuzzy algorithm parameters that affect the stability of the navigation processing, the simulation shows that fuzzy-PID robot navigation algorithm higher precision control, better operational stability.

关键词： magnetic navigation patrol robot fuzzy PID control

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An Approach for Object Picking using Correlation analysis and robotic Manipulation

An Approach for Object Picking using Correlation analysis an...

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International conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： S. Pradeep Asha Rani Vijander Singh Shivangi Agarwal University of Delhi Delhi Instrumentation and Control Engineering Division Netaji Subhas Institute of Technology Dwarka New Delhi

the aim of the present work is to pick and place an object with the help of robotic manipulator using computer vision. Real time object detection is achieved using a camera to capture the image in the region of interest (ROI). 2-D correlation between the object and captured image, along with image processing techniques, locates the object position. the pixel coordinates are then converted to real time distance coordinates. the object location is conveyed to the robotic arm with the help of software instructions and required operation of pick/place is performed. the object is successfully located and grabbed by the robotic arm, provided the relative position of the robotic arm and the camera is fixed. the method uses two-dimensional image analysis in place of three-dimensional object detecting techniques. Hence the proposed algorithm is simple, requires less memory space, does not require any filter, reduces the instruction set and has high accuracy.

关键词： robot kinematics Cameras robot vision systems Correlation Object detection Manipulators

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