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检索条件"机构=Computer Vision and Robotics Laboratory"
644 条 记 录,以下是51-60 订阅
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Selecting and evaluating combinatorial fusion criteria to improve multitarget tracking
Selecting and evaluating combinatorial fusion criteria to im...
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2006 9th International Conference on Information Fusion, FUSION
作者: Frank Hsu, D. Lyons, Damian M. Ai, Jizhou Computer Vision and Robotics Laboratory Department of Computer and Information Science Fordham University Bronx NY 10458 United States
In many useful video tracking situations, targets move through repeated mutual occlusions. As targets undergo occlusions, the feature subsets and combinations of those features that are effective in identifying the ta... 详细信息
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Generative 3D hand tracking with spatially constrained pose sampling  28
Generative 3D hand tracking with spatially constrained pose ...
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28th British Machine vision Conference, BMVC 2017
作者: Roditakis, Konstantinos Makris, Alexandros Argyros, Antonis A. Computational Vision and Robotics Laboratory Institute of Computer Science FORTH Greece Computer Science Department University of Crete Greece
We present a method for 3D hand tracking that exploits spatial constraints in the form of end effector (fingertip) locations. The method follows a generative, hypothesize-and-test approach and uses a hierarchical part... 详细信息
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Sharing and fusing landmark information in a team of autonomous robots
Sharing and fusing landmark information in a team of autonom...
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Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009
作者: Lyons, Damian M. Robotics and Computer Vision Laboratory Department of Computer and Information Science Fordham University Bronx NY 10458 United States
A team of robots working to explore and map a space may need to share information about landmarks so as register local maps and to plan effective exploration strategies. In this paper we investigate the use of spatial... 详细信息
来源: 评论
A vision Based Hardware-Software Real-Time Control System for the Autonomous Landing of an UAV  1
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International Conference on computer vision and Graphics, ICCVG 2020
作者: Blachut, Krzysztof Szolc, Hubert Wasala, Mateusz Kryjak, Tomasz Gorgon, Marek Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
In this paper we present a vision based hardware-software control system enabling the autonomous landing of a multirotor unmanned aerial vehicle (UAV). It allows for the detection of a marked landing pa... 详细信息
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Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking  1
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International Conference on computer vision and Graphics, ICCVG 2020
作者: Przewlocka, Dominika Wasala, Mateusz Szolc, Hubert Blachut, Krzysztof Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
In this paper the research on optimisation of visual object tracking using a Siamese neural network for embedded vision systems is presented. It was assumed that the solution shall operate in real-time, preferably for... 详细信息
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Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation
Energy Efficient Hardware Acceleration of Neural Networks wi...
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International Conference on computer vision and Graphics, ICCVG 2022
作者: Przewlocka-Rus, Dominika Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
Deep neural networks virtually dominate the domain of most modern vision systems, providing high performance at a cost of increased computational complexity. Since for those systems it is often required to operate bot... 详细信息
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Traffic Sign Classification Using Deep and Quantum Neural Networks
Traffic Sign Classification Using Deep and Quantum Neural Ne...
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International Conference on computer vision and Graphics, ICCVG 2022
作者: Kuros, Sylwia Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
Quantum Neural Networks (QNNs) are an emerging technology that can be used in many applications including computer vision. In this paper, we presented a traffic sign classification system implemented using a hybrid qu... 详细信息
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Efficient background modeling through incremental Support Vector Data Description
Efficient background modeling through incremental Support Ve...
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作者: Tavakkoli, Alireza Nicolescu, Mircea Bebis, George Nicolescu, Monica Computer Vision Laboratory University of Nevada Reno United States Robotics Laboratory University of Nevada Reno United States
Background modeling is an essential and important part of many high-level video processing applications. Recently, the Support Vector Data Description (SVDD) has been introduced for novelty detection when only one cla... 详细信息
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The "Castelet": A dynamically reconfigurable stage for performing arts  07
The "Castelet": A dynamically reconfigurable stage for perfo...
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ACM SIGGRAPH 2007 Sketches, SIGGRAPH'07
作者: Jobin, Jean-Philippe Comtois, Sylvain Gosselin, Clément Faguy, Robert Laurendeau, Denis Robotics Laboratory Computer Vision and Systems Lab. LANTISS Laval University Quebec City Canada
The hero jumped down the wall, escalated the hill, slid down the rock, climbed the stairs and finally left the vilain behind...In this classical scene, the hero has to move on different types of terrain. Recreating su...
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SAGE: A decision support system for the sequencing of operations within a robotic workcell
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Decision Support Systems 1988年 第3期4卷 329-343页
作者: Freedman, P. Malowany, A. Computer Vision and Robotics Laboratory McGill Research Centre for Intelligent Machines McGill University Montréal Que. Canada
This paper describes a new approach to decision support based on logic programming. SAGE, Sequence Analysis by Graphical Evaluation, is a both a logic framework and a set of Prolog programs to express and then solve t... 详细信息
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