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检索条件"任意字段=IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops"
8962 条 记 录,以下是231-240 订阅
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Collective Activity Detection using Hinge-loss Markov Random Fields
Collective Activity Detection using Hinge-loss Markov Random...
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: London, Ben Khamis, Sameh Bach, Stephen H. Huang, Bert Getoor, Lise Davis, Larry Univ Maryland College Pk MD 20742 USA
We propose hinge-loss Markov random fields (HL-MRFs), a powerful class of continuous-valued graphical models, for high-level computer vision tasks. HL-MRFs are characterized by log-concave density functions, and are a... 详细信息
来源: 评论
Efficient Online Multi-Camera Tracking with Memory-Efficient Accumulated Appearance Features and Trajectory Validation
Efficient Online Multi-Camera Tracking with Memory-Efficient...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lap Quoc Tran Huan Duc Vi Asilla Tokyo Japan
Multi-camera tracking (MCT) plays a crucial role in various computer vision applications. However, accurate tracking of individuals across multiple cameras faces challenges, particularly with identity switches. In thi... 详细信息
来源: 评论
Application of computer vision and vector space model for tactical movement classification in badminton  30
Application of computer vision and vector space model for ta...
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30th ieee/CVF conference on computer vision and pattern recognition workshops (CVPRW)
作者: Weeratunga, Kokum Dharmaratne, Anuja How, Khoo Boon Monash Univ Sch Informat Technol Clayton Vic Australia Monash Univ Sch Engn Clayton Vic Australia Natl Sports Inst Malaysia Kuala Lumpur Malaysia
Performance profiling in sports allow evaluating opponents' tactics and the development of counter tactics to gain a competitive advantage. The work presented develops a comprehensive methodology to automate tacti... 详细信息
来源: 评论
Feedback control of event cameras
Feedback control of event cameras
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Delbruck, Tobi Graca, Rui Paluch, Marcin UZH ETH Zurich Inst Neuroinformat Zurich Switzerland
Dynamic vision sensor event cameras produce a variable data rate stream of brightness change events. Event production at the pixel level is controlled by threshold, bandwidth, and refractory period bias current parame... 详细信息
来源: 评论
Event Detection Using Local Binary pattern Based Dynamic Textures
Event Detection Using Local Binary Pattern Based Dynamic Tex...
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ieee-computer-society conference on computer vision and pattern recognition workshops
作者: Ma, Yunqian Cisar, Petr Honeywell Int Inc 1985 Douglas Dr N Golden Valley MN 55442 USA Honeywell Prague Labs Prague 14800 Czech Republic
Detecting suspicious events from video surveillance cameras has been an important task recently. Many trajectory based descriptors were developed, such as to detect people running or moving in opposite direction. Howe... 详细信息
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Surrogate Contrastive Network for Supervised Band Selection in Multispectral computer vision Tasks  32
Surrogate Contrastive Network for Supervised Band Selection ...
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32nd ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bernal, Edgar A. Univ Rochester Rochester Data Sci Consortium 260 E Main St Rochester NY 14604 USA
computer vision techniques that operate on hyper- and multispectral imagery benefit from the additional amount of spectral information relative to those that exploit traditional RGB or monochromatic visual data. Howev... 详细信息
来源: 评论
vision on Wheels: Looking at Driver, Vehicle, and Surround for On-Road Maneuver Analysis
Vision on Wheels: Looking at Driver, Vehicle, and Surround f...
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27th ieee conference on computer vision and pattern recognition (CVPR)
作者: Ohn-Bar, Eshed Tawari, Ashish Martin, Sujitha Trivedi, Mohan M. Univ Calif San Diego Comp Vis & Robot Res Lab San Diego CA 92103 USA
Automotive systems provide a unique opportunity for mobile vision technologies to improve road safety by understanding and monitoring the driver. In this work, we propose a real-time framework for early detection of d... 详细信息
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Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action recognition
Grassmannian Sparse Representations and Motion Depth Surface...
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Azary, Sherif Savakis, Andreas Rochester Inst Technol Rochester NY 14623 USA
Manifold learning has been effectively used in computer vision applications for dimensionality reduction that improves classification performance and reduces computational load. Grassmann manifolds are well suited for... 详细信息
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Articulated pose estimation with tiny synthetic videos
Articulated pose estimation with tiny synthetic videos
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ieee conference on computer vision and pattern recognition (CVPR)
作者: Park, Dennis Ramanan, Deva UC Irvine Irvine CA 92697 USA
We address the task of articulated pose estimation from video sequences. We consider an interactive setting where the initial pose is annotated in the first frame. Our system synthesizes a large number of hypothetical... 详细信息
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Multimodal Shape Completion via Implicit Maximum Likelihood Estimation
Multimodal Shape Completion via Implicit Maximum Likelihood ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Arora, Himanshu Mishra, Saurabh Peng, Shichong Li, Ke Mahdavi-Amiri, Ali Simon Fraser Univ Burnaby BC Canada
Shape completion is the problem of completing partial input shapes such as partial scans. This problem finds important applications in computer vision and robotics due to issues such as occlusion or sparsity in real-w... 详细信息
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