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检索条件"机构=Intelligent Robotics and Computer Vision Group/Department of Computer Science and Mathematics"
295 条 记 录,以下是221-230 订阅
Boosting Scalable Gradient Features for Adaptive Real-Time Tracking
Boosting Scalable Gradient Features for Adaptive Real-Time T...
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2011 IEEE International Conference on robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
作者: Dominik A. Klein Armin B. Cremers Intelligent Vision Systems Group Department of Computer Science IIIRheinische Friedrich-Wilhelms-Universit(a)t Bonn53117 BonnGermany
Recently, several image gradient and edge based features have been introduced. In unison, they all discovered that object shape is a strong cue for recognition and tracking. Generally their basic feature extraction re... 详细信息
来源: 评论
An accurate 3D feature tracking system with wide-baseline stereo smart cameras
An accurate 3D feature tracking system with wide-baseline st...
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ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC
作者: Dominik Rueß Kristian Manthey Ralf Reulke German AeroSpace Center Optical Information Systems Institute of Robotics and Mechatronics Berlin Germany Department of Computer Science Research and Lecture Group Computer Vision Humboldt-Universität zu Berlin Berlin Germany
A typical video surveillance system consists of at least one camera, controlled by an operator. To decrease the human error rate and to generally lessen the burden of operators, many object tracking systems have been ... 详细信息
来源: 评论
Reports of the AAAI 2010 fall symposia
Reports of the AAAI 2010 fall symposia
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作者: Azevedo, Roger Biswas, Gautam Bohus, Dan Carmichael, Ted Finlayson, Mark A. Hadzikadic, Mirsad Havasi, Catherine Horvitz, Eric Kanda, Takayuki Koyejo, Oluwasanmi Lawless, William F. Lenat, Doug Meneguzzi, Felipe Mutlu, Bilge Oh, Jean Pirrone, Roberto Raux, Antoine Sofge, Donald A. Sukthankar, Gita Van Durme, Benjamin Yorke-Smith, Neil Department of Educational and Counseling Psychology McGill University Canada Center for Intelligent Systems Vanderbilt University United States Microsoft Research Redmond United States Department of Software and Information Systems University of North Carolina Charlotte United States Complex Systems Institute United States Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology United States Media Lab. Massachusetts Institute of Technology United States ATR Intelligent Robotics and Communication Laboratories Kyoto Japan Department of Electrical and Computer Engineering University of Texas Austin United States Department of Mathematics Paine College Augusta GA United States Cycorp Austin TX United States Robotics Institute Carnegie Mellon University United States Department of Computer Sciences University of Wisconsin Madison United States University of Palermo Italy Honda Research Institute United States Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington DC United States Department of Electrical Engineering and Computer Science University of Central Florida United States Department of Computer Science Johns Hopkins University United States American University of Beirut Lebanon SRI International's Artificial Intelligence Center United States
The Association for the Advancement of Artificial Intelligence (AAAI) presented the 2010 Fall Symposium Series on November 11-13, 2010. The eight symposia included Cognitive and Metacognitive Educational Systems, Comm... 详细信息
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The logic of robotics inspired biology
The logic of robotics inspired biology
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International Symposium on AI Inspired Biology, AIIB 2010 - A Symposium at the AISB 2010 Convention
作者: Hülse, Martin Lee, Mark Intelligent Robotics Group Department of Computer Science Aberywtwyth University SY23 3DB United Kingdom
Biologically inspired robotics is a well known approach for the design of autonomous intelligent robot systems. Very often it is assumed that biologically inspired models successfully implemented on robots offer new s... 详细信息
来源: 评论
On adapting pixel-based classification to unsupervised texture segmentation
On adapting pixel-based classification to unsupervised textu...
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2010 20th International Conference on Pattern Recognition, ICPR 2010
作者: Melendez, Jaime Puig, Domenec Angel Garcia, Miguel Intelligent Robotics and Computer Vision Group Rovira I Virgili University Dept. of Computer Science and Mathematics Av. Paisos Catalans 26 43007 Tarragona Spain Autonomous University of Madrid Dept. of Informatics Engineering Francisco Tomas y Valiente 11 28049 Madrid Spain
An inherent problem of unsupervised texture segmentation is the absence of previous knowledge regarding the texture patterns present in the images to be segmented. A new efficient methodology for unsupervised image se... 详细信息
来源: 评论
Robust color image segmentation through tensor voting
Robust color image segmentation through tensor voting
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International Conference on Pattern Recognition
作者: Moreno, Rodrigo Garcia, Miguel Angel Puig, Domenec Rovira I Virgili University Intelligent Robotics and Computer Vision Group Dept. of Computer Science and Mathematics Av. Països Catalans 26 43007 Tarragona Spain Autonomous University of Madrid Dept. of Informatics Engineering Francisco Tomas y Valiente 11 28049 Madrid Spain
This paper presents a new method for robust color image segmentation based on tensor voting, a robust perceptual grouping technique used to extract salient information from noisy data. First, an adaptation of tensor v... 详细信息
来源: 评论
On Adapting Pixel-based Classification to Unsupervised Texture Segmentation
On Adapting Pixel-based Classification to Unsupervised Textu...
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International Conference on Pattern Recognition
作者: Jaime Melendez Domenec Puig Miguel Angel Garcia Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain Department of Informatics Engineering Autonomous University of Madrid Madrid Spain
An inherent problem of unsupervised texture segmentation is the absence of previous knowledge regarding the texture patterns present in the images to be segmented. A new efficient methodology for unsupervised image se... 详细信息
来源: 评论
Robust Color Image Segmentation through Tensor Voting
Robust Color Image Segmentation through Tensor Voting
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International Conference on Pattern Recognition
作者: Rodrigo Moreno Miguel Angel Garcia Domenec Puig Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain Department of Informatics Engineering Autonomous University of Madrid Madrid Spain
This paper presents a new method for robust color image segmentation based on tensor voting, a robust perceptual grouping technique used to extract salient information from noisy data. First, an adaptation of tensor v... 详细信息
来源: 评论
Heterogeneous sensor fusion framework for autonomous mobile robot obstacle avoidance
Heterogeneous sensor fusion framework for autonomous mobile ...
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2010 10th International Conference on intelligent Systems Design and Applications, ISDA'10
作者: Zia, Ali Gulrez, Tauseef Chaudhry, Tayyab Intelligent Machines and Robotics Research Group Department of Computer Science COMSATS Institute of Information Technology Lahore M. A. Jinnah Campus Defence Road Lahore Pakistan
This paper addresses the problem of moving obstacle detection for autonomous mobile robots in unknown urban environments through the fusion of (vehicle-mounted) forward looking laser and vision sensors. In this approa... 详细信息
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MULTI-CAMERA POSITIONING FOR AUTOMATED TRACKING SYSTEMS IN DYNAMIC ENVIRONMENTS
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International Journal of Information Acquisition 2010年 第3期7卷 225-242页
作者: YI YAO CHUNG-HAO CHEN BESMA ABIDI DAVID PAGE ANDREAS KOSCHAN MONGI ABIDI Visualization and Computer Vision Lab GE Global Research USA Department of Mathematics and Computer Science North Carolina Central University USA Imaging Robotics and Intelligent Systems Lab University of Tennessee Knoxville USA
Most existing camera placement algorithms focus on coverage and/or visibility analysis, which ensures that the object of interest is visible in the camera's field of view (FOV). According to recent literature, han... 详细信息
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