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检索条件"机构=Computer Vision and Robotics Laboratory Computer Vision and Robotics Laboratory"
647 条 记 录,以下是501-510 订阅
排序:
A novel interactivity environment for integrated intelligent transportation and telematic systems
A novel interactivity environment for integrated intelligent...
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International Conference on Intelligent Transportation
作者: T.B. Hall M.A. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego La Jolla CA USA
Advances in intelligent transportation are rapidly sensing and connecting both highways and vehicles. This recent availability of high-speed communication and large quantities of information are rapidly changing the w... 详细信息
来源: 评论
Distributed interactive video arrays for event based analysis of incidents
Distributed interactive video arrays for event based analysi...
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International Conference on Intelligent Transportation
作者: M.M. Trivedi A. Prati G. Kogut Computer Vision and Robotics Research Laboratory University of California San Diego La Jolla CA USA
The distributed interactive video array (DIVA) system is developed to provide a large-scale, redundant cluster of video streams to observe a remote scene and to supply automatic focus-of-attention with event-driven se... 详细信息
来源: 评论
Contour migration: solving object ambiguity with shape-space visual guidance
Contour migration: solving object ambiguity with shape-space...
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IEEE International Workshop on Intelligent Robots and Systems (IROS)
作者: W. Abd-Almageed C.E. Smith Department of Electrical and Computer Engineering Robotics Artificial Intelligence and Vision Laboratory University of New Mexico Albuquerque NM USA
A fundamental problem in computer vision is the issue of shape ambiguity. Simply stated, a silhouette cannot uniquely identify an object or an object's classification since many unique objects can present identica... 详细信息
来源: 评论
Mixture models for dynamic statistical pressure snakes
Mixture models for dynamic statistical pressure snakes
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International Conference on Pattern Recognition
作者: W. Abd-Almageed C.E. Smith Robotics Artificial Intelligence and Vision Laboratory Electrical and Computer Engineering Department University of New Mexico Albuquerque NM USA
This paper introduces a new approach to statistical pressure snakes. It uses statistical modeling for both object and background to obtain a more robust pressure model. The Expectation Maximization (EM) algorithm is u... 详细信息
来源: 评论
vision-based monitoring of intersections
Vision-based monitoring of intersections
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International Conference on Intelligent Transportation
作者: H. Vceraraghavan O. Masoud N. Papanikolopoulos Artificial Intelligence University of Minnesota Vision and Robotics Laboratory Department of Computer Science and Engineering Artificial Intelligence University of Minnesota USA
The goal of tills project Is to develop a passive vision-based sensing system. The system will be capable of monitoring an intersection by observing the vehicle and pedestrian flow, and predicting situations that migh... 详细信息
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Fast Landmark Tracking and Localization Algorithm for the Mobile Robot Self-Localization
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IFAC Proceedings Volumes 2001年 第4期34卷 185-190页
作者: Kuk-Jin Yoon Gi-Jeong Jang Sung-Ho Kim In-So Kweon Robotics and Computer Vision Laboratory Dept. of Electrical Engineering and Computer Science KAIST Korea
We present a simple artificial landmark model and a robust landmark tracking alg orithm for mobile robot localization. The landmark model, consisting of symmetric and repetitive color patches, produces color histogram... 详细信息
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Maintaining the identity of multiple vehicles as they travel through a video network
Maintaining the identity of multiple vehicles as they travel...
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IEEE Workshop on Multi-Object Tracking
作者: G.T. Kogut M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA
Large vision infrastructures have been installed, or are under construction in many major metropolitan areas. These networks of cameras offer enormous volumes of data from large areas. However, most work in ITS comput... 详细信息
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Robot homing based on corner tracking in a sequence of panoramic images
Robot homing based on corner tracking in a sequence of panor...
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Conference on computer vision and Pattern Recognition (CVPR)
作者: A.A. Argyros K.E. Bekris S.C. Orphanoudakis Computer Vision and Robotics Laboratory Institute of Computer Science Foundation for Research and Technology Hellas FORTH Crete Greece
In robotics, homing can be defined as that behavior which enables a robot to return to its initial (home) position, after traveling a certain distance along an arbitrary path. Odometry has traditionally been used for ... 详细信息
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A televiewing system for multiple simultaneous customized perspectives and resolutions
A televiewing system for multiple simultaneous customized pe...
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International Conference on Intelligent Transportation
作者: B. Hall Kohsia Huang M. Trivedi Computer Vision and Robotics Research Laboratory CVRR University of California La Jolla CA USA
Recent innovations in real-time machine vision, distributed computing, software architectures and high-speed communication are expanding the available technology for intelligent system development. These technologies ... 详细信息
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Software mode changes for continuous motion tracking  1st
Software mode changes for continuous motion tracking
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1st International Workshop on Self-Adaptive Software, IWSAS 2000
作者: Karuppiah, Deepak Deegan, Patrick Araujo, Elizeth Yang, Yunlei Holness, Gary Zhu, Zhigang Lerner, Barbara Grupen, Roderic Riseman, Edward Dept. of Computer Science Computer Vision Research Laboratory University of Massachusetts AmherstMA01003 United States Dept. of Computer Science Laboratory for Perceptual Robotics University of Massachusetts AmherstMA01003 United States Dept. of Computer Science Lab. for Advanced Software Eng. Research University of Massachusetts AmherstMA01003 United States
Robot control in nonlinear and nonstationary run-time environments presents challenges to traditional software methodologies. In particular, robot systems in "open" domains can only be modeled probabilistica... 详细信息
来源: 评论