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

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

引用

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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Real-time wide area tracking: hardware and software infrastructure

Real-time wide area tracking: hardware and software infrastr...

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International Conference on Intelligent Transportation

作者： G.T. Kogut M.M. Trivedi The Computer Vision And Robotics Research Laboratory University of California La Jolla CA USA

In recent years, large number of cameras have been installed in freeway and road environments. While the use of some of these cameras is being automated through computer vision, few computer vision systems allow for true wide-area large scaled automation. This paper describes a distributed computing system capable of managing an arbitrarily large sensor network using only common computing and networking platforms. The architecture is capable of handling many common computer vision tasks, as well as the inter-sensor communication necessary for developing new algorithms which employ data from multiple sensors. This system is tested with an algorithm which tracks moving objects through a prototype camera network with non-overlapping fields or view in a college campus environment This algorithm allows the system to maintain the identity of a tracked objects as it leaves and enters the fields of view of individual sensors. Such an algorithm is necessary for applications which require tracking objects over large distances or over long periods of time in an environment without complete sensor coverage.

关键词： Hardware Cameras computer vision Distributed computing Sensor systems Traffic control Roads Automation computer network management Sensor phenomena and characterization

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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 way we perceive transportation. In order to develop technologies and applications that are practical in this intelligent environment, it is important to consider specific ways to best use this infrastructure effectively. This paper focuses on the development of and experiments with a visualization environment that presents an interactive, immersive, and context-preserving display of outdoor information. The developed visualization integrates a variety of types of information about a section of interstate such as aerial photographs, maps, and live outdoor videos into a single interactive environment. Additionally, a wireless mobile testbed is presented that allows the undertaking of novel interactivity experiments among mobile participants without requiring a fully instrumented vehicle. These systems allow effective experimentation with and integration between highway and vehicle based real-world intelligent transportation systems.

关键词： Intelligent transportation systems Telematics Intelligent vehicles Road transportation Road vehicles Visualization Joining processes Displays Videos Testing

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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 servoing to capture desired events at appropriate resolutions and perspectives. Installing multiple sensors introduces several new research issues related to the system design, including handoff schemes for passing tracked objects between sensors and clusters, methods for determining the "best view" given the context of the traffic scene, and sensor fusion algorithms to best employ the strengths of a given sensor or sensor modality. This paper describes our research focused on the development of DIVA system for traffic and incident monitoring. The paper describes the overall architecture of the DIVA system. Algorithms for vehicle and platoon tracking using multiple cameras, and experimental results using novel distributed video networks deployed on the campus and the interstate I-5.

关键词： Sensor fusion Sensor systems Layout Large-scale systems Streaming media Clustering algorithms Telecommunication traffic Monitoring Vehicles Cameras

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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 allow the realization of intelligent systems that provide the capabilities for a user to experience events from remote locations in an interactive way. In this paper, we describe research aimed at the realization of a powerful televiewing system applied to the traffic incident detection and monitoring needs of today's highways. Sensor clusters utilizing both rectilinear and omni-directional cameras provide an interactive, real-time, multi-resolution televiewing interface to emergency response crews. Ultimately, this system will have a direct impact on reducing incident-related highway congestion by improving the quality of information to which emergency personnel have access.

关键词： Intelligent systems Machine intelligence Intelligent sensors Road transportation Technological innovation Real time systems Machine vision Distributed computing Software architecture Remote monitoring

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Articulated body posture estimation from multi-camera voxel data

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

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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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Range-space approach for generalized multiple baseline stereo and direct virtual view synthesis

Range-space approach for generalized multiple baseline stere...

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IEEE Workshop on Stereo and Multi-Baseline vision (SMBV)

作者： K.C. Ng M. Trivedi H. Ishiguro AST La Jolla Laboratory STMicroelectronics Inc. San Diego CA USA Computer Vision & Robotics Research Laboratory University of California San Diego CA USA Department of Computer and Communication Sciences Wakayama University Japan

ISBN: (纸本)0769513271

In this paper a new "range-space" approach, for rendering visual models using a network of multiple omnidirectional vision sensors (ODVS) is presented. This integrated approach allows for simultaneous extraction of 3-D range as well as visual models. The approach requires three distinct steps of analyzing multiple ODVS video input streams: 1) Search, 2) Match, and 3) Render. At the output, a user-specified view is rendered. This three-step process does not require 3D model of the scene to be provided.

关键词： Stereo vision Cameras Layout Pixel computer vision Robustness Legged locomotion Robot sensing systems Robot vision systems computer networks

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Distributed video networks for incident detection and management

Distributed video networks for incident detection and manage...

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International Conference on Intelligent Transportation

作者： M.M. Trivedi I. Mikic G. Kogut Computer Vision and Robotics Research Laboratory University of California San Diego La Jolla CA USA

We describe a novel architecture for developing distributed video networks for incident detection and management. The networks utilize both rectilinear and omnidirectional cameras. It is recognized that robust and reliable segmentation of automobiles and shadows is critical in our application. We describe new segmentation procedure and present experimental results to support the basic feasibility and utility of the algorithms.

关键词： Delay estimation Layout Robustness Image segmentation Telecommunication traffic Sensor fusion computerized monitoring Remote monitoring Sensor arrays computer network management

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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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