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检索条件"任意字段=2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006"

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Background Modelling in Infrared and Visible Spectrum Video for People Tracking

Background Modelling in Infrared and Visible Spectrum Video ...

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： C.O. Conaire E. Cooke N. O'Connor N. Murphy A. Smearson Centre for Digital Video Processing Adaptive Information Cluster University of Dublin Ireland Centre for Digital Video Processing Dublin City University Ireland

In this paper, we present our approach to robust background modelling which combines visible and thermal infrared spectrum data. Our work is based on the non-parametric background model describe in 1. We use a pedestrian detection module to prevent erroneous data from becoming part of the background model and this allows us to initialise our bacjground model, even in the presence of foreground objects. Visible and infrared features are use to remove incorrectly detected foreground regions. Allowing our model to quickly recover from ghost regions and rapid lighting changes. An object-based shadow detector also improves our algorithm's performance.

关键词： Infrared spectra Videoconference computer society computer vision pattern recognition

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A computer vision System on a Chip: a case study from the automotive domain

A Computer Vision System on a Chip: a case study from the au...

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： G.P. Stein E. Rushinek G. Hayun A. Shashua MobileEye Vision Technologies Limited Jerusalem Israel Hebrew University Jerusalem Israel

The automotive market puts strict and often conflicting requirements on computer vision systems. On the one hand the algorithms require considerable computing power to work reliably in real-time and under a wide range of lighting conditions. On the other hand, the cost must be kept low, the package size must be small and the power consumption must be low. In addition, automotive qualified parts must be used both to withstand the harsh operating environment and to guarantee long product life. To meet all these conflicting requirements Mobileye developed the EyeQ, a complete ’system on a chip’ (SoC) which has the computing power to support a variety of applications such as lane, vehicle and pedestrian detection. This paper describes the process of designing an ASIC to support a family of vision algorithms.

关键词： computer vision Automotive engineering Vehicle detection Power system reliability Costs Packaging Energy consumption System-on-a-chip Process design Algorithm design and analysis

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Multi-output regularized projection

Multi-output regularized projection

引用

conference on computer vision and pattern recognition (cvpr)

作者： K. Yu S. Yu V. Tresp Corporate Technology Siemens AG Medical Solutions Germany Institute for Computer Science University of Munich (LMU) Germany

Dimensionality reduction via feature projection has been widely used in pattern recognition and machine learning. It is often beneficial to derive the projections not only based on the inputs but also on the target values in the training data set. This is of particular importance in predicting multivariate or structured outputs which is an area of growing interest. In this paper we introduce a novel projection framework which is sensitive to both input features and outputs. Based on the derived features prediction accuracy can be greatly improved. We validate our approach in two applications. The first is to model users' preferences on a set of paintings. The second application is concerned with image categorization where each image may belong to multiple categories. The proposed algorithm produces very encouraging results in both settings.

关键词： pattern recognition Principal component analysis Linear discriminant analysis computer science Machine learning Training data Accuracy Painting Algorithm design and analysis Data preprocessing

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Mixture trees for modeling and fast conditional sampling with applications in vision and graphics

Mixture trees for modeling and fast conditional sampling wit...

引用

conference on computer vision and pattern recognition (cvpr)

作者： F. Dellaert V. Kwatra Sang Min Oh College of Computing Georgia Institute of Technology Atlanta GA USA

We introduce mixture trees, a tree-based data-structure for modeling joint probability densities using a greedy hierarchical density estimation scheme. We show that the mixture tree models data efficiently at multiple resolutions, and present fast conditional sampling as one of many possible applications. In particular, the development of this data-structure was spurred by a multi-target tracking application, where memory-based motion modeling calls for fast conditional sampling from large empirical densities. However, it is also suited to applications such as texture synthesis, where conditional densities play a central role. Results are presented for both these applications.

关键词： Tree graphs Sampling methods Graphics computer vision Tracking Image sampling Pixel Data structures Tree data structures Educational institutions

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Dynamic environment exploration using a virtual white cane

Dynamic environment exploration using a virtual white cane

引用

conference on computer vision and pattern recognition (cvpr)

作者： D. Yuan R. Manduchi Department of Computer Engineering University of California Santa Cruz CA USA

The virtual white cane is a range sensing device based on active triangulation, that can measure distances at a rate of 15 measurements/second. A blind person can use this device for sensing the environment, pointing it as if it was a flashlight. Beside measuring distances, this device can detect surface discontinuities, such as the foot of a wall, a step, or a drop-off. This is obtained by analyzing the range data collected as the user swings the device around, tracking planar patches and finding discontinuities. In this paper we briefly describe the range sensing device, and present an online surface tracking algorithm, based on a Jump-Markov model. We show experimental results proving the robustness of the tracking system in real-world conditions.

关键词： Layout Time of arrival estimation Ultrasonic imaging Wheelchairs Sonar detection Surface emitting lasers computer vision Area measurement Ultrasonic variables measurement Foot

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A New Face recognition Algorithm using Bijective Mappings

A New Face Recognition Algorithm using Bijective Mappings

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： C. Podilchuk A. Patel A. Harthattu S. Anand R. Mammone WISE Laboratory Center for Advanced Information Processing Rutgers University Piscataway NJ USA

A new face recognition algorithm is proposed which is robust to variations in pose, expression and illumination. The framework is similar to the ubiquitous block matching algorithm used for motion estimation in video compression but has been adapted to compensate for illumination differences. One of the key differentiators of this approach is that unlike traditional face recognition algorithms, the image data representing the face or features extracted from the facial data is not used for classification. Instead, the mapping between the probe and gallery images given by the block matching algorithm is used to classify the faces for recognition. Once the mappings are found for each gallery image, the degree of bijectivity that each mapping produces is used to derive the similarity scores for recognition.

关键词： Face recognition Face detection Motion estimation Probes Lighting Video compression computer vision Independent component analysis Robustness Feature extraction

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Quantitative evaluation of a novel image segmentation algorithm

Quantitative evaluation of a novel image segmentation algori...

引用

conference on computer vision and pattern recognition (cvpr)

作者： F.J. Estrada A.D. Jepson Department of Computer Science University of Toronto Toronto ONT Canada

We present a quantitative evaluation of SE-MinCut, a novel segmentation algorithm based on spectral embedding and minimum cut. We use human segmentations from the Berkeley segmentation database as ground truth and propose suitable measures to evaluate segmentation quality. With these measures we generate precision/recall curves for SE-MinCut and three of the leading segmentation algorithms: mean-shift, normalized Cuts, and the local variation algorithm. These curves characterize the performance of each algorithm over a range of input parameters. We compare the precision/recall curves for the four algorithms and show segmented images that support the conclusions obtained from the quantitative evaluation.

关键词： Image segmentation Humans Pixel computer science Continuous improvement Time measurement Image databases Robustness Partitioning algorithms

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Evaluating image retrieval

Evaluating image retrieval

引用

conference on computer vision and pattern recognition (cvpr)

作者： N.V. Shirahatti K. Barnard Electrical and Computer Engineering University of Arizona Tucson USA Department of Computer Science University of Arizona Tucson USA

We present a comprehensive strategy for evaluating image retrieval algorithms. Because automated image retrieval is only meaningful in its service to people, performance characterization must be grounded in human evaluation. Thus we have collected a large data set of human evaluations of retrieval results, both for query by image example and query by text. The data is independent of any particular image retrieval algorithm and can be used to evaluate and compare many such algorithms without further data collection. The data and calibration software are available on-line. We develop and validate methods for generating sensible evaluation data, calibrating for disparate evaluators, mapping image retrieval system scores to the human evaluation results, and comparing retrieval systems. We demonstrate the process by providing grounded comparison results for several algorithms.

关键词： Image retrieval Information retrieval Humans computer vision Content based retrieval computer science Calibration Vocabulary Biomedical imaging computer society

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Evaluation of the Modelling of Local Areas and Errors of Localization in FRGC' 05

Evaluation of the Modelling of Local Areas and Errors of Loc...

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： O.C. Hamsici A.M. Martynez Depart. of Electrical and Computer Engineering The Ohio State University Columbus OH USA

We present an evaluation of a probabilistic, part-based algorithm designed at The Ohio State University. Our algorithm is robust to errors of precision made by the (automatic) face and facial feature detector and to local image changes due to, for example, expression and illumination. Our contributions include the design of a novel face and facial feature detector and the justification of the use of the Mahalanobis cosine distance. We show results on experiments 1 and 4 in the FRGC (Version 2) test/database. Our algorithm includes a new face detector that is used to demonstrate the robustness of our algorithm to small errors of localization.

关键词： Face detection Facial features Eyes Detectors Image databases Spatial databases computer errors Algorithm design and analysis Testing Face recognition

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Driver state monitor from DELPHI

Driver state monitor from DELPHI

引用

conference on computer vision and pattern recognition (cvpr)

作者： N. Edenborough R. Hammoud A. Harbach A. Ingold B. Kisacanin P. Malawey T. Newman G. Scharenbroch S. Skiver M. Smith A. Wilhelm G. Witt E. Yoder H. Zhang Delphi Electronics & Safety

We present an automotive-grade, real-time, vision-based driver state monitor. Upon detecting and tracking the driver's facial features, the system analyzes eye-closures and head pose to infer his/her fatigue or distraction. This information is used to warn the driver and to modulate the actions of other safety systems. The purpose of this monitor is to increase road safety by preventing drivers from falling asleep or from being overly distracted, and to improve the effectiveness of other safety systems.

关键词： Monitoring Road safety Automotive engineering Fatigue Accidents computer vision Human factors Air safety Belts Driver circuits

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