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检索条件"机构=Computer Vision and Robotics Research Laboratory Electrical and Colmputer Engineerirrg Department"

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Multiperspective thermal IR and video arrays for 3D body tracking and driver activity analysis

Multiperspective thermal IR and video arrays for 3D body tra...

引用

2005 IEEE computer Society Conference on computer vision and Pattern Recognition, CVPR 2005 - Workshops

作者： Cheng, Shinko Y. Park, Sangho Trivedi, Mohan M. Computer Vision and Robotics Research Laboratory Department of Electrical and Computer Engineering University of California San Diego San DiegoCA United States

ISBN: (纸本)0769526608

This paper presents a multi-perspective (i.e., four camera views) multi-modal (i.e., thermal infrared and color) video based system for robust and real-time 3D tracking of important body *** multi-perspective characteristics of the system provides 3Dtrajectory of the body parts, while the multi-modal characteristics of the system provides robustness and reliability of feature detection and tracking. The application context for this research is that of intelligent vehicles and driver assistance systems. Experimental results demonstrate effectiveness of the proposed system. © 2005 IEEE computer Society. All rights reserved.

关键词： Automobile drivers

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A Binary Tree for Probability Learning in Eye Detection

A Binary Tree for Probability Learning in Eye Detection

引用

IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： Junwen Wu M.M. Trivedi Computer Vision and Robotics Research Laboratory Department of Electrical and Computer Engineering University of California San Diego CA USA

In this paper we proposed to solve the eye detection and localization problem under a general statistical model based object detection framework. A binary tree representation is used to discover the objects’ underlying statistical structure. Tree structures enable us to describe the object local statistical structure in a coarse-to-fine fashion. Each subtree explains the statistics for certain local substructure. The tree is built in a top-down fashion. Subsets with negligible conditional independency are found by k-means clustering using mutual information. The conditionally independent features are separated into different subtrees, while more dependent features are tended to appear close in the tree. The distribution of the object can be learned accordingly. Gaussian mixture in the independent component analysis (ICA) subspace is used to model the distribution of each high dependent feature subset, where each independent component explains the local substructure. The use of tree structure enables us to learn the distribution recursively by applying Bayesian criterion. Substantial experiments were done to evaluate the performance over the eyes detection accuracy as well as the localization ability. Experimental results show a better detection accuracy than the Viisage system with a reasonable localization ability, which validate the algorithm.

关键词： Binary trees Object detection Bayesian methods computer vision Eyes Tree data structures Probability Statistical distributions Independent component analysis Face detection

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Multiperspective Thermal IR and Video Arrays for 3D Body Tracking and Driver Activity Analysis

Multiperspective Thermal IR and Video Arrays for 3D Body Tra...

引用

IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： Shinko Y. Cheng Sangho Park M.M. Trivedi Computer Vision and Robotics Research Laboratory Department of Electrical and Computer Engineering University of California San Diego La Jolla CA USA

关键词： Cameras computer vision Infrared detectors Humans Head Robustness Robot vision systems Image color analysis Real time systems Intelligent vehicles

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Real-time driver affect analysis and tele-viewing system

Real-time driver affect analysis and tele-viewing system

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IEEE Symposium on Intelligent Vehicle

作者： J.C. McCall S.P. Mallick M.M. Trivedi Computer Vision and Robotics Research Laboratory Department of Electrical and Computer Engineering University of California San Diego USA

This paper deals with the development of novel sensory systems and interfaces to enhance the safety of a driver who may be using a cell phone. It describes a system for real time affect analysis and Tele-viewing in order to bring the context of the driver to remote users. The system is divided into two modules. The affect recognition module recognizes six emotional states of the driver. The face-modeling module generates a 3D model of the driver's face using two images and synthesizes the emotions on it. Depending on bandwidth, either a raw video, 3D warped model, or an iconic representation is sent to the remote user.

关键词： Real time systems Cellular phones Face detection Hidden Markov models Tracking loops Safety Emotion recognition Bandwidth Image reconstruction computer vision

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Real-time stereo-based vehicle occupant posture determination for intelligent airbag deployment

Real-time stereo-based vehicle occupant posture determinatio...

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IEEE Symposium on Intelligent Vehicle

作者： T.D. Schoenmackers M.M. Trivedi Department of Electrical and Computer Engineering Computer Vision and Robotics Research Laboratory University of California San Diego La Jolla CA USA

From 1990 to April 2002, according to the National Highway Traffic Safety Administration (NHTSA), airbag deployment has been responsible for 208 deaths in low-severity crashes. Of these deaths, 107 were children between the ages of 1 and 11, 22 were infants, and 32 were women under the height of five feet two inches. In addition to deaths, airbags are responsible for many more incidental injuries and broken bones. These injuries could be avoided if the system had an accurate model of the actual pose of the occupant. This paper discusses a system we are developing to accurately determine the position of the head, torso, and arms of the front-seat occupant of a vehicle.

关键词： Intelligent vehicles Head Intelligent robots US department of Transportation Pediatrics Injuries Torso Intelligent sensors Road vehicles Vehicle safety

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Driver's view and vehicle surround estimation using omnidirectional video stream

Driver's view and vehicle surround estimation using omnidire...

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IEEE Symposium on Intelligent Vehicle

作者： K.S. Huang M.M. Trivedi T. Gandhi Computer Vision and Robotics Research (CVRR) Laboratory Department of Electrical and Computer Engineering University of California San Diego La Jolla CA USA

Our research is focused on the development of novel machine vision based telematic systems, which provide non-intrusive probing of the state of the driver and driving conditions. In this paper we present a system which allows simultaneous capture of the driver's head pose, driving view, and surroundings of the vehicle. The integrated machine vision system utilizes a video stream of full 360 degree panoramic field of view. The processing modules include perspective transformation, feature extraction, head detection, head pose estimation, driving view synthesis, and motion segmentation. The paper presents a multi-state statistical decision models with Kalman filtering based tracking for head pose detection and face orientation estimation. The basic feasibility and robustness of the approach is demonstrated with a series of systematic experimental studies.

关键词： Vehicle driving Streaming media Magnetic heads Machine vision Face detection Telematics Feature extraction Motion detection Motion estimation Motion segmentation

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Articulated body posture estimation from multi-camera voxel data

Articulated body posture estimation from multi-camera voxel ...

引用

Conference on computer vision and Pattern Recognition (CVPR)

作者： I. Mikic M. Trivedi E. Hunter P. Cosman Computer Vision and Robotics Research Laboratory Department of Electrical and Computer Engineering University of California La Jolla CA USA

ISBN: (纸本)0769512720

We present a framework for articulated body model acquisition and tracking from voxel data. A 3D voxel reconstruction of the person's body is computed from silhouettes extracted from four cameras. The model acquisition process is fully automated. In the first frame, body parts are located sequentially. The head is located first, since its shape and size are unique and stable. Other parts are found by sequential template growing and fitting. This initial estimate of body part locations, sizes and orientations is then used as a measurement for the extended Kalman filter which ensures a valid articulated body model. The same filter, with a slightly modified state and state transition matrix, is then used for tracking. The performance of the system has been evaluated on several video sequences with promising results.

关键词： Cameras Image reconstruction Biological system modeling Data mining computer vision Robot vision systems Head Shape Filters Image segmentation

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Activity monitoring and summarization for an intelligent meeting room

Activity monitoring and summarization for an intelligent mee...

引用

Workshop on Human Motion

作者： I. Mikic K. Huang M. Trivedi Computer Vision and Robotics Research Laboratory Department of Electrical and Computer Engineering University of California San Diego USA

Intelligent meeting rooms should support efficient and effective interactions among their occupants. In this paper, we present our efforts toward building intelligent environments using a multimodal sensor network of static cameras, active (pan/tilt/zoom) cameras and microphone arrays. Active cameras are used to capture details associated with interesting events. The goal is not only to make a system that supports multi-person interactions in the environment in real time, but also to have the system remember the past, enabling reviews of past events in an intuitive and efficient manner. In this paper, we present the system specifications and major components, integration framework, active network control procedures and experimental studies involving multi-person interactions in an intelligent meeting room environment.

关键词： Monitoring Intelligent sensors Intelligent networks Smart cameras Microphone arrays Sensor arrays Intelligent structures Multimodal sensors Real time systems Control systems

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Estimation of acoustical room transfer functions

Estimation of acoustical room transfer functions

引用

IEEE Conference on Decision and Control

作者： T. Gustafsson J. Vance H.R. Pota B.D. Rao M.M. Trivedi Computer Vision and Robotics Research Laboratory Electrical and Computer Engineering Department University of California San Diego La Jolla CA USA School of Electical Engineering University of New South Wales Canberra Australia

ISBN: (纸本)0780366387

Presents a method to obtain room transfer functions for applications in the design of intelligent systems for video conferencing. In these applications the acoustical dynamics, for example, affects the quality of the recorded speech signal and the ability to achieve accurate source localization. The first part of the paper gives results on the identification of parameterized room transfer functions. The second part presents a method to extrapolate room transfer functions from the identified models. The extrapolation is achieved by getting a functional form of the transfer function parameters which depends on the speaker and the microphone locations.

关键词： Transfer functions Loudspeakers Microphones Acoustics Videoconference Speech Transient response Partial differential equations Application software computer vision

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The mapping of texture on VR polygonal models 2

The mapping of texture on VR polygonal models

引用

2nd International Conference on 3-D Digital Imaging and Modeling, 3DIM 1999

作者： Laurendeau, Denis Bertrand, Nathalie Houde, Régis Computer Vision and Systems Laboratory Department of Electrical Engineering and Computer Engineering Laval University QuebecQCG1K 7P4 Canada Robotics Division Hydro Quebec Research Institute VarennesQCJ3X 1S1 Canada

ISBN: (纸本)0769500625

The paper addresses the problem of choosing automatically, and without user intervention, the best possible 2D image that should be used to map as a texture on polygons of a geometric model of complex scenes made of several objects. The geometric models and the texture data are obtained separately: the models are built from range data while the texture information is obtained from 2D color images of the scene. The system does not make any assumption on the way the texture data has been acquired. Texture selection results are presented for an indoor scene. © 1999 IEEE.

关键词： Image texture

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