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检索条件"机构=Computer Vision and Robotics Research Laboratory"

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Visual context capture and analysis for driver attention monitoring

Visual context capture and analysis for driver attention mon...

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International Conference on Intelligent Transportation

作者： J.C. McCall M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA

Driver distraction is recognized as a major factor in the cause of automobile accidents. Therefore, it is extremely important for an intelligent driver support system to be able to monitor the driver's attentive state. This paper proposes a system to monitor driver attention based on a variety of information sources. The LISA-Q test vehicle is used to synchronously capture video, audio, vehicle information, LASER RADAR information, and GPS information as input to the driver state evaluation. Information about the driver's facial affects, lane keeping, steering movements, and time headway are all extracted from the multimodal data streams and evaluated.

关键词： Monitoring Vehicle driving Laser radar Automobiles Accidents Intelligent systems Testing Global Positioning System Data mining Streaming media

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An integrated, robust approach to lane marking detection and lane tracking

An integrated, robust approach to lane marking detection and...

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IEEE Symposium on Intelligent Vehicle

作者： J.C. McCall M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego CA USA

Lane Detection is a difficult problem because of the varying road conditions that one can encounter while driving. We propose a method for lane detection using steerable filters. Steerable filters provide robustness to lighting changes and shadows and perform well in picking out both circular reflector road markings as well as painted line road markings. The filter results are then processed to eliminate outliers based on the expected road geometry and used to update a road and vehicular model along with data taken internally from the vehicles. Results are shown for a 9000-frame image sequence that include varying lane markings, lighting conditions, showing, and occlusion by other vehicles.

关键词： Robustness Filters Road vehicles Remotely operated vehicles Road transportation Vehicle detection Detectors computer vision Vehicle driving Mobile robots

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Design of an instrumented vehicle test bed for developing a human centered driver support system

Design of an instrumented vehicle test bed for developing a ...

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IEEE Symposium on Intelligent Vehicle

作者： J.C. McCall O. Achler M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego CA USA

We introduce a new type of intelligent vehicle test-bed that is enabling new research in the field. This new test-bed is designed to capture not just a portion of the vehicle surround, but rather the entire vehicle surround as well as the vehicle interior and vehicle state for extended periods of time. This is accomplished using multiple modalities of sensor systems so that it conform a complete context of the vehicle. This allows new research to be performed in intelligent vehicle algorithm development and allows studies in driver behavior to be performed. We also show results from some of the research being performed using this test-bed.

关键词： Instruments Vehicle driving System testing Humans Intelligent vehicles Sensor systems Automobiles Global Positioning System Remotely operated vehicles Laboratories

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Face detection and head tracking using stereo and thermal infrared cameras for "smart" airbags: a comparative analysis

Face detection and head tracking using stereo and thermal in...

引用

International Conference on Intelligent Transportation

作者： S.J. Krotosky S.Y. Cheng M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego CA USA

vision based systems for "smart" airbag systems aim to give precise information about occupant pose and location. This information can be used to make intelligent airbag deployment decisions. This paper reviews both a stereo-based and long wave infrared-based system for "smart" airbag deployment. The algorithms are systematically evaluated through extensive real-time occupant tests. Data for both algorithms is simultaneously collected and evaluated for viability in an intelligent airbag system. Results of these experimental trials show the feasibility of each video based occupant position analysis system. Advantages and drawbacks of each method are discussed and potential solutions are suggested.

关键词： Face detection Infrared detectors Smart cameras Lighting Information analysis Real time systems System testing Intelligent systems Machine vision Automobiles

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Distributed omni-video arrays and digital tele-viewer for customized viewing, event detection and notification

Distributed omni-video arrays and digital tele-viewer for cu...

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International Conference on Information Technology: Coding and Computing (ITCC)

作者： M.M. Trivedi K.S. Huang Tarak Gandhi B. Hall K. Harlow Computer Vision and Robotics Research (CVRR) Laboratory University of California San Diego USA

Recent innovations in real-time machine vision, distributed computing, software architectures, and encrypted high-speed networking are expanding the available technology for intelligent camera arrays on televiewing and interactive applications. In this paper we describe research aimed at the realization of a powerful televiewing system using arrays of omnidirectional cameras. The video arrays provide an interactive, real-time, multiresolution televiewing interface to multiple people including physical security and emergency response crews simultaneously. Security measures such as authentication and network encryption are implemented on multiple platforms. Fusion of high-resolution rectilinear image over the omnidirectional image is also carried out. computer vision techniques based on motion analysis are used for detecting interesting events. The televiewing system is verified for the performance as well as physically tested on the Super Bowl 2003 event for crowd detection and traffic monitoring.

关键词： Event detection Cryptography Cameras Power system security Technological innovation Machine vision Distributed computing Software architecture High-speed networks Intelligent networks

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Vehicle wheel detector using 2D filter banks

Vehicle wheel detector using 2D filter banks

引用

IEEE Symposium on Intelligent Vehicle

作者： O. Achler M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego La Jolla CA USA

Detecting vehicles from a moving vehicle is an important task. In this paper a new vehicle detector is introduced. The new vehicle detector employs the use of the ubiquitous wheel. Every car has wheels; this wheel detector finds wheels and infers vehicle location from the wheel detection. Views from an omnidirectional camera are used to generate side view images. These images are processed using a difference of Gaussian filter bank. The responses from the filter bank are applied to a precomputed set of principle components. The principle component responses are compared against a Gaussian mixture model of wheels and Gaussian model roadbed. Wheel candidates are chosen and tracked. Initial experimental results along with analysis are shown.

关键词： Vehicle detection Wheels Detectors Channel bank filters Vehicles Cameras Roads Principal component analysis Vehicle driving Filter bank

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Camera based vehicle detection, tracking, and wheel baseline estimation approach

Camera based vehicle detection, tracking, and wheel baseline...

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International Conference on Intelligent Transportation

作者： O. Achler M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego La Jolla CA USA

Detecting and classifying vehicles using a stationary camera is an important task in intelligent transportation systems. A novel vehicle detector is introduced. The vehicle detector uses the most common feature among all vehicles, the ubiquitous wheel. The vehicle detector finds wheels and infers vehicle location from background segmentation and wheel detection. Views from a rigid rectilinear camera are used. The images are convolved using a difference of Gaussian filterbank. The responses from the filterbank are applied to a precomputed set of principle components. The principle component responses are compared against a Gaussian mixture model of wheels and Gaussian mixture model of non-wheels. Wheel candidates are chosen and tracked. Any wheel tracked in the foreground is chosen as wheel. Initial experimental results along with analysis are included.

关键词： Cameras Vehicle detection Wheels Vehicles Detectors Robot vision systems Bridges Subtraction techniques Intelligent robots Intelligent transportation systems

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Occupant posture analysis using reflectance and stereo image for "smart" airbag deployment

Occupant posture analysis using reflectance and stereo image...

引用

IEEE Symposium on Intelligent Vehicle

作者： S.J. Krotosky M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego La Jolla CA USA

Robust detection of vehicle occupant posture is necessary for intelligent airbag deployment. This paper presents a vision-based method of estimating the size, posture and pose of the occupant. Utilizing raw reflectance and stereo disparity images, this algorithm presents a mixed-mode approach to finding occupant features. Extensive experiments show the viability of this mixed-mode method in identifying the occupant's head location and suggest the feasibility of extending the analysis system to include detection of features such as occupant arms and foreign objects.

关键词： Image analysis Reflectivity Stereo vision Head Lighting computer vision Robot vision systems Intelligent robots Laboratories Vehicle detection

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A collaborative approach for human-centered driver assistance systems

A collaborative approach for human-centered driver assistanc...

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International Conference on Intelligent Transportation

作者： J.C. McCall O. Achler M.M. Trivedi J.-B. Haue P. Fastrez D. Forster J.D. Hollan E. Boer Computer Vision and Robotics Research Laboratory Distributed Cognition and Human Computer Interaction Laboratory University of California San Diego USA ERB Consulting and Cal-IT University of California San Diego La Jolla CA USA

This paper describes an interdisciplinary research collaboration to design a human-centered driver assistance system. Driving behavior is captured using a novel intelligent vehicle test bed. The synchronized capture o... 详细信息

关键词： Collaboration Vehicle driving Cognition Streaming media Laboratories Intelligent vehicles Intelligent systems System testing Data analysis Video compression

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Motion analysis of omnidirectional video streams for a mobile sentry 1

Motion analysis of omnidirectional video streams for a mobil...

引用

1st ACM SIGMM International Workshop on Video Surveillance, IWVS 2003

作者： Gandhi, Tarak Trivedi, Mohan M. Computer Vision and Robotics Research Laboratory University of California San Diego United States

ISBN: (纸本)158113780X

A mobile platform mounted with Omni-Directional vision Sensor (ODVS) can be used to monitor large areas and detect interesting events such as independently moving persons and vehicles. To avoid false alarms due to extraneous features, the image motion induced by the moving platform should be compensated. This paper describes a formulation of parametric ego-motion compensation for an ODVS. Omni images give 360 degrees view of surroundings but undergo considerable image distortion. To account for these distortions, the parametric planar motion model is integrated with the transformations into omni image space. Prior knowledge of approximate camera calibration and vehicle speed are integrated with the estimation process using Bayesian approach. Iterative, coarse to fine, gradient based estimation is used to correct the motion parameters for vibrations and other inaccuracies in prior knowledge. Experiments with camera mounted on a mobile platform demonstrate successful detection of moving persons and vehicles. Copyright 2003 ACM.

关键词： Optical flows

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