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检索条件"机构=Computer Vision and Active Perception Laboratory"
58 条 记 录,以下是41-50 订阅
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Integrating representative and discriminant models for object category detection
Integrating representative and discriminant models for objec...
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International Conference on computer vision (ICCV)
作者: M. Fritz B. Leibe B. Caputo B. Schiele Multimodal Interactive Systems Technical University of Darmstadt Germany Computer Vision and Active Perception Laboratory KTH Stockholm Sweden
Category detection is a lively area of research. While categorization algorithms tend to agree in using local descriptors, they differ in the choice of the classifier, with some using generative models and others disc... 详细信息
来源: 评论
Integrating object and grasp recognition for dynamic scene interpretation
Integrating object and grasp recognition for dynamic scene i...
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International Conference on Advanced Robotics (ICAR)
作者: S. Ekvall D. Kragic Computational Vision and Active Perception Laboratory Centre for Autonomous Systems Department of Numerical Analysis and Computer Science Royal Institute of Technology Stockholm Sweden
Understanding and interpreting dynamic scenes and activities is a very challenging problem. In this paper, we present a system capable of learning robot tasks from demonstration. Classical robot task programming requi... 详细信息
来源: 评论
Object recognition using composed receptive field histograms of higher dimensionality
Object recognition using composed receptive field histograms...
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International Conference on Pattern Recognition
作者: O. Linde T. Lindeberg Department of Numerical Analysis and Computer Science KTH Computational Vision and Active Perception Laboratory Stockholm Sweden
Effective methods for recognising objects or spatio-temporal events can be constructed based on receptive field responses summarised into histograms or other histogram-like image descriptors. This work presents a set ... 详细信息
来源: 评论
Combination of foveal and peripheral vision for object recognition and pose estimation
Combination of foveal and peripheral vision for object recog...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: M. Bjorkman D. Kragic Centre for Autonomous Systems & Computer Vision and Active Perception Laboratory Royal Institute of Technology Stockholm Sweden
In this paper, we present a real-time vision system that integrates a number of algorithms using monocular and binocular cues to achieve robustness in realistic settings, for tasks such as object recognition, tracking... 详细信息
来源: 评论
Cue integration through discriminative accumulation
Cue integration through discriminative accumulation
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Conference on computer vision and Pattern Recognition (CVPR)
作者: M.E. Nilsback B. Caputo Department of Numerical Analysis and Computer Science Computational Vision and Active Perception Laboratory (CVAP) KTH Stockholm Sweden
Object recognition systems aiming to work in real world settings should use multiple cues in order to achieve robustness. We present a new cue integration scheme, which extends the idea of cue accumulation to discrimi... 详细信息
来源: 评论
Recognizing human actions: a local SVM approach
Recognizing human actions: a local SVM approach
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International Conference on Pattern Recognition
作者: C. Schuldt I. Laptev B. Caputo Computational Vision and Active Perception Laboratory (CVAP) Department of Numerical Analysis and Computer Science KTH Royal Institute of Technology Stockholm Sweden
Local space-time features capture local events in video and can be adapted to the size, the frequency and the velocity of moving patterns. In this paper, we demonstrate how such features can be used for recognizing co... 详细信息
来源: 评论
Velocity adaptation of space-time interest points
Velocity adaptation of space-time interest points
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International Conference on Pattern Recognition
作者: I. Laptev T. Lindeberg Computational Vision and Active Perception Laboratory (CVAP) Department of Numerical Analysis and Computer Science KTH Royal Institute of Technology Stockholm Sweden
The notion of local features in space-time has recently been proposed to capture and describe local events in video. When computing space-time descriptors, however, the result may strongly depend on the relative motio... 详细信息
来源: 评论
Galilean-diagonalized spatio-temporal interest operators
Galilean-diagonalized spatio-temporal interest operators
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International Conference on Pattern Recognition
作者: T. Lindeberg A. Akbarzadeh I. Laptev Computational Vision and Active Perception Laboratory (CVAP) Department of Numerical Analysis and Computer Science KTH Royal Institute of Technology Stockholm Sweden
This paper presents a set of image operators for detecting regions in space-time where interesting events occur. To define such regions of interest, we compute a spatio-temporal second-moment matrix from a spatio-temp... 详细信息
来源: 评论
Many-to-many feature matching using spherical coding of directed graphs  8
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8th European Conference on computer vision, ECCV 2004
作者: Fatili Demirci, M. Shokoufandeh, Ali Dickinson, Sven Keselman, Yakov Bretzner, Lars Department of Computer Science Drexel University PhiladelphiaPA19104 United States Department of Computer Science University of Toronto TorontoONM5S 3G4 Canada School of Computer Science Telecommunications and Information Systems DePaul University ChicagoIL60604 United States Computational Vision and Active Perception Laboratory Department Of Numerical Analysis and Computer Science KTH Stockholm Sweden
Abstract. In recent work, we presented a framework for many-to-many matching of multi-scale feature hierarchies, in which features and their relations were captured in a vertex-labeled, edge-weighted directed graph. T... 详细信息
来源: 评论
Fast shape-based road sign detection for a driver assistance system
Fast shape-based road sign detection for a driver assistance...
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IEEE International Workshop on Intelligent Robots and Systems (IROS)
作者: G. Loy N. Barnes Computer Vision and Active Perception Laboratory Royal Institute of Technology (KTH) Stockholm Sweden Autonomous Systems and Sensor Technologies Program National ICT Australia Canberra Australia
A new method is presented for detecting triangular, square and octagonal road signs efficiently and robustly. The method uses the symmetric nature of these shapes, together with the pattern of edge orientations exhibi... 详细信息
来源: 评论