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Asilomar Conference on Signals, Systems & computers

作者： Junwen Wu M.M. Trivedi Computer Vision and Robotics Research lab ECE Department University of California San Diego La Jolla CA USA

In this paper we propose a novel algorithm to enhance the face video from omni-directional video camera. A two-stage strategy is used. First stage is the noise elimination, realized by iterative MAP update. Naive Bayesian criterion is used to model the posterior. The predominant salt and pepper noise introduced by the omni-to-perspective transformation can be removed effectively, while the image details are well preserved. The high frequency component compensation (HFCC) super-resolution algorithm is applied thereafter to remove the blocky effect. Experimental results show that the video quality has a marked improvement.

关键词： Cameras Iterative algorithms Statistics Robot vision systems Bayesian methods Face detection Image resolution Image enhancement Streaming media Image segmentation

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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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Reference image computation from cartesian specifications for model-free visual servoing

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IFAC Proceedings Volumes 2004年第8期37卷 496-501页

作者： Geraldo Silveira Patrick Rives Cen PRA - Renato Archer Research Center DRVC - Robotics and Computer Vision Division CP 6162 13083-970 Campinas/SP Brazil INRIA Sophia Antipolis 2004 Route des Lucioles BP 93 06902 Sophia Antipolis Cedex France

It is proposed a new method to compute, from the current unstructured view, a reference (desired) image for visual servoing. The approach, which is based on Cartesian specifications, is made without moving the robot to the target location as in the teach-by-showing paradigm. In addition, although it is assumed a piecewise planar target, no metric information between the object features is required. Several results demonstrate its validity and usefulness, for example in reconnaissance and surveillance tasks.

关键词： Visual servoing vision based navigation computer vision epipolar geometry Euclidean homography

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Extreme ecosystem studies in the deep OCEan: Technological developments EXOCET/D

Extreme ecosystem studies in the deep OCEan: Technological d...

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The Fourteenth International Offshore and Polar Engineering Conference - ISOPE 2004

作者： Sarradin, P.-M. Sarrazin, J. Cadiou, J.F. Olu, K. Desbruyères, D. Rigaud, V. Drogou, J.F. Lecornu, F. Rolin, J.F. Vuillemin, R. Cambon-Bonavita, M.A. Sauter, E. Von Juterzenka, K. Boetius, A. Serrão Santos, R. Colaço, A. Pascoal, A. Oliveira, P. Shillito, B. Zal, F. Schultz, A. Taylor, P. Lane, D. Loke, R.E. Du Buf, H. Waldmann, C. Cormack, A. Sanfilippo, L. Masson, M. Ifremer DRO/EP Plouzané and La Seyne sur Mer France DNIS Plouzané and La Seyne sur Mer France TMSI Plouzané and La Seyne sur Mer France DRV/VP Plouzané and La Seyne sur Mer France AWI Dept. Geosystem and Project Group Deep-Sea Research Bremerhaven Germany Project Group AUV Payload Development and Deep-Sea Gradients Bremerhaven Germany Geosystem Paleoenvironment from Marine Sediments Bremerhaven Germany University of the Azores Horta Portugal Dept. of Electrical Engineering Institute for Systems and Robotics Instituto Superior Técnico Lisbon Portugal UMR CNRS 7138 Systématique Adaptation et Evolution Université Pierre et Marie Curie Paris France Equipe Ecophysiologie Station Biologique Roscoff France School of Earth Ocean and Planetary Sciences Cardiff University Cardiff United Kingdom Dept. Electrical Electronic and Computer Engineering Heriot-Watt University Edinburgh United Kingdom Dept. of Electronics and Computer Science Vision Laboratory University of Algarve Faro Portugal University of Bremen FB5/MARUM Bremen Germany SeeByte Ltd Edinburgh United Kingdom Systea Srl Anagni Italy CAPSUM Technologie GmbH Trittau Germany

The general objective of EXOCET/D is to develop, implement and test specific instruments aimed at exploring, describing, quantifying and monitoring biodiversity in deep-sea fragmented habitats as well as at identifying links between community structure and environmental dynamics. Onboard experimental devices will complement the approach, enabling experiments on species physiology. The EXOCET/D working fields include: video and acoustic imagery, in situ analysis of physico-chemical factors, quantitative sampling of macro- and micro-organisms, in vivo experiments, integration of multidisciplinary data, implementation on European deep-submersibles and a final phase of technical and scientific validation. Copyright © 2004 by The International Society of Offshore and Polar Engineers.

关键词： Submersibles

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Motion analysis of omnidirectional video streams for a mobile sentry 1

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

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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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Parametric face modeling and affect synthesis

Parametric face modeling and affect synthesis

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2003 International Conference on Multimedia and Expo, ICME 2003

作者： Mallick, Satya Prakash Trivedi, Mohan University of Califomia San Diego Department of Electrical and Computer Engineering: Computer Vision and Robotics Research United States

ISBN: (纸本)0780379659

In this paper, we present a fast algorithm for automatically generating a 3D model of a human face and synthesizing affects on it. This work is a step towards low bandwidth virtual tele-presence using avatars. The idea is to generate a 3D model of a person's face and animate different emotions on the face at a remote observer's end, thus eliminating the need to send raw video. This research is part of a larger project, which deals with development of novel sensory systems and interfaces to enhance safety of a driver. The proposed algorithm uses a stereo pair of images of a driver's face and creates a 3D mesh model by deforming and texture mapping a predefined 3D mesh. © 2003 IEEE.

关键词： Three dimensional computer graphics

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Manifold analysis of facial gestures for face recognition

Manifold analysis of facial gestures for face recognition

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2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003

作者： Fidaleo, Douglas Trivedi, Mohan Computer Vision and Robotics Research Laboratory University of California San Diego San DiegoCA United States

ISBN: (纸本)1581137796

The particulars of facial gestures are frequently used to qualitatively define and characterize faces. It is not merely the skin motion induced by such gestures, but the appearance of the skin changes that provides this information. For gestures and their appearance to be utilized as a biometric, it is critical that a robust model be established. For this purpose we are exploring gesture manifolds. This paper describes work underway toward evaluation of the manifold representation of facial gestures both as a biometric, and as a means to extract biometric information. Details of the current acquisition system are discussed with the motivating principles behind the device. Preliminary observations are presented to motivate manifold analysis followed by an exposition of the experiments underway that will be used to validate the model. Copyright 2003 ACM.

关键词： Biometrics

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Parametric face modeling and affect synthesis

Parametric face modeling and affect synthesis

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IEEE International Conference on Multimedia and Expo (ICME)

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

关键词： Facial animation Avatars Displays Cameras Skin Mathematical model Face detection Humans Bandwidth Calibration

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Distributed video arrays for tracking, human identification, and activity analysis

Distributed video arrays for tracking, human identification,...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： K.S. Huang M.M. Trivedi Computer Vision and Robotics Research CVRR Laboratoly University of California San Diego USA

In this paper we discuss the intelligent or smart camera based systems for capturing visual contextual information at multiple levels of information abstraction. A distributed video array, with multiple omnidirectional and rectilinear cameras, is used to acquire visual information. System architecture as well as 3D tracking and human identification modules are described. Examples of the use of distributed video arrays in indoor, outdoor, and mobile environments are presented.

关键词： Humans Smart cameras Robustness Information analysis Intelligent robots Robot vision systems Intelligent sensors Microphone arrays Signal resolution Event detection

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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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