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检索条件"机构=Computer Vision and Robotics Laboratory"
644 条 记 录,以下是181-190 订阅
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Locally adaptive support-weight approach for visual correspondence search
Locally adaptive support-weight approach for visual correspo...
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Conference on computer vision and Pattern Recognition (CVPR)
作者: Kuk-Jin Yoon In-So Kweon Robotics and Computer Vision Laboratory Department of Electrical Engineering and Computer Science KAIST Daejeon South Korea
In this paper, we present a new area-based method for visual correspondence search that focuses on the dissimilarity computation. Local and area-based matching methods generally measure the similarity (or dissimilarit... 详细信息
来源: 评论
A dynamic pruning and feature selection strategy for real-time tracking
A dynamic pruning and feature selection strategy for real-ti...
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International Conference on Advanced Information Networking and Applications (AINA)
作者: D.F. Hsu D.M. Lyons Computer Vision & Robotics Laboratory Department of Computer & Information Science Fordham University Bronx NY USA
Automated video tracking is useful in a number of applications such as surveillance, multisensor networks, robotics and virtual reality. In this paper we investigate an approach to tracking based on fusing the output ... 详细信息
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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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International Conference on Information Fusion
作者: D. Frank Hsu Damian M. Lyons Jizhou Ai Computer Vision & Robotics Laboratory Department of Computer & Information Science Fordham University Bronx NY USA
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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Combinatorial Fusion Criteria for Real-Time Tracking
Combinatorial Fusion Criteria for Real-Time Tracking
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International Conference on Advanced Information Networking and Applications (AINA)
作者: D.F. Hsu D.M. Lyons J. Ai Computer Vision & Robotics Laboratory Department of Computer & Information Science Fordham University Bronx NY USA
We address the problem of automated video tracking of targets when targets undergo multiple mutual occlusions. Our approach is based on the idea that as targets are occluded, selection of feature subsets and combinati... 详细信息
来源: 评论
Rotational legged locomotion
Rotational legged locomotion
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International Conference on Advanced robotics (ICAR)
作者: D.M. Lyons K. Pamnany Robotics and Computer Vision Laboratory Department of Computer and Information Science Fordham University Bronx NY USA
In this paper we presented a novel, agile robot mechanism, which we call a rotopod, which combines aspects of wheeled and legged locomotion. A general description of how a tripedal rotopod can be made to step, rotatin... 详细信息
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Selection and recognition of landmarks using terrain spatiograms
Selection and recognition of landmarks using terrain spatiog...
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2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Damian M. Lyons Robotics & Computer Vision Laboratory Computer and Information Science Department Fordham University Bronx NY USA
A team of robots working to explore and map an area may need to share information about landmarks so as to register their local maps and to plan effective exploration strategies. In previous papers we have introduced ... 详细信息
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Combinatorial Fusion Criteria for Robot Mapping
Combinatorial Fusion Criteria for Robot Mapping
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International Conference on Advanced Information Networking and Applications (AINA)
作者: Damian M. Lyons D. Frank Hsu Qiang Ma Liang Wang Computer Vision & Robotics Laboratory Department of Computer & Information Science Fordham University Bronx NY USA
We address the problem of sensor fusion for stereo and ultrasound depth measurements for map building for a robot operating in a cluttered environment. In such a situation it's difficult to make useful and realist... 详细信息
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A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation  37
A Single 2D Pose with Context is Worth Hundreds for 3D Human...
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37th Conference on Neural Information Processing Systems, NeurIPS 2023
作者: Zhao, Qitao Zheng, Ce Liu, Mengyuan Chen, Chen Robotics Institute Carnegie Mellon University United States Center for Research in Computer Vision University of Central Florida United States Key Laboratory of Machine Perception Peking University Shenzhen Graduate School China
The dominant paradigm in 3D human pose estimation that lifts a 2D pose sequence to 3D heavily relies on long-term temporal clues (i.e., using a daunting number of video frames) for improved accuracy, which incurs perf...
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Learning trajectory patterns by clustering: Experimental studies and comparative evaluation
Learning trajectory patterns by clustering: Experimental stu...
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Conference on computer vision and Pattern Recognition (CVPR)
作者: Brendan Morris Mohan Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego CA USA
Recently a large amount of research has been devoted to automatic activity analysis. Typically, activities have been defined by their motion characteristics and represented by trajectories. These trajectories are coll... 详细信息
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Rank-based multisensory fusion in multitarget video tracking
Rank-based multisensory fusion in multitarget video tracking
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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)
作者: D.M. Lyons D.F. Hsu Robotics and Computer Vision Laboratory Department of Computer and Information Science Fordham University Bronx NY USA
An attractive approach to improve tracking performance for visual surveillance is to use information from multiple visual sensory cues such as position, color, shape, etc. Previous work in fusion for tracking has tend... 详细信息
来源: 评论