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检索条件"任意字段=2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005"

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AVSS 2005 ieee International conference on Advanced Video and Signal based Surveillance

AVSS 2005 IEEE International Conference on Advanced Video an...

引用

ieee conference on Advanced Video and Signal Based Surveillance, AVSS 2005

ISBN: (纸本)0780393856

The proceedings contain 111 papers. The topics discussed include: computer vision for homeland security: a perspective on its promise and pitfalls;human motion recognition based on statistical shape analysis;clustering of human actions using invariant body shape descriptor and dynamic time warping;relevance learning for spectral clustering with applications on image segmentation and video behaviour profiling;using local and global object's information to track vehicles in urban scenes;denoising image sequences does not require motion estimation;tracking motion objects in infrared videos;multiple object tracking using elastic matching;human tracking in real-time video for varying illumination;a real time surveillance system for metropolitan railways;human posture recognition using active contours and radial basis function neural network;a novel method for graffiti detection using change detection algorithm;and a novel scheme of face verification using active appearance models.

关键词： Imaging systems

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Video pupil tracking for iris based identification

Video pupil tracking for iris based identification

引用

7th International conference on Advanced Concepts for Intelligent vision Systems

作者： Ketchantang, W Derrode, S Bourennane, S Martin, L Univ Paul Cezanne Inst Fresnel CNRS UMR 6133 F-13013 Marseille France ST Microelect F-13106 Rousset France

ISBN: (纸本)354029032X

Currently, iris identification systems are not easy to use since they need a strict cooperation of the user during the snapshot acquisition process. Several acquisitions are generally needed to obtain a workable image of the iris for recognition purpose. To make the system more flexible and open to large public applications, we propose to work on the entire sequence acquired by a camera during the enrolment. Hence the recognition step can be applied on a selected number of the "best workable images" of the iris within the sequence. In this context, the aim of the paper is to present a method for pupil tracking based on a dynamic Gaussian Mixture Model (GMM) together with Kalman prediction of the pupil position along the sequence. The method has been experimented on a real video sequence captured by a near Infra-Red (IR) sensitive camera and has shown its effectiveness in nearly real time computing.

关键词： pattern recognition

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Robust digital fingerprinting for curves

Robust digital fingerprinting for curves

引用

2005 ieee International conference on Acoustics, Speech, and Signal Processing, ICASSP '05

作者： Gou, Hongmei Wu, Min Electrical and Computer Engineering Department University of Maryland College Park

ISBN: (纸本)0780388747

Hiding data in curves can be achieved by parameterizing a curve using the B-spline model and adding spread spectrum sequences in B-spline control points. In this paper, we propose an iterative alignment-minimization algorithm to perform curve registration and deal with the non-uniqueness of B-spline control points. We demonstrate through experiments the robustness of our method against various attacks such as collusion, geometric transformation, and printing-and-scanning. We also show the feasibility of our method for fingerprinting topographic maps and detecting finger-prints from printed copies. © 2005 ieee.

关键词： pattern recognition

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Calibration of pan-tilt-zoom (PTZ) cameras and omni-directional cameras

Calibration of pan-tilt-zoom (PTZ) cameras and omni-directio...

引用

conference on computer vision and pattern recognition (cvpr)

作者： S.R. Thirthala S.N. Sinha M. Pollefeys Department of Computer Science UNC Chapel Hill USA

In the first part we discuss the problem of recovering the calibration of a network of pan-tilt-zoom cameras. The intrinsic parameters of each camera over its full range of zoom settings are estimated through a two step procedure. We first determine the intrinsic parameters at the camera's lowest zoom setting very accurately by capturing an extended panorama. The camera intrinsics are then determined at discrete steps in a monotonically increasing zoom sequence that spans the full zoom range of the cameras. Both steps are fully automatic and do not assume any knowledge of the scene structure. We validate our approach by calibrating two different types of pan tilt zoom cameras placed in an outdoor environment. We also show the high-resolution panoramic mosaics built from the images captured during this process. The second section deals with the calibration of omnidirectional cameras. A broad class of both central and non-central cameras, such as fish-eye and catadioptric cameras, can be reduced to 1D radial cameras under the assumption of known center of radial distortion. We study the multi-view geometry of 1D radial cameras. For cameras in general configuration, we introduce a quadrifocal tensor. From this tensor a metric reconstruction of the 1D cameras as well as the observed features can be obtained. In a second phase this reconstruction can then be used as a calibration object to estimate a non-parametric non-central model for the cameras. We study some degenerate cases, including pure rotation. In the case of a purely rotating camera we obtain a trifocal tensor. This allows us to obtain a metric reconstruction of the plane at infinity. Next, we use the plane at infinity as a calibration device to non-parametrically estimate the radial distortion.

关键词： Cameras Calibration Tensile stress Image reconstruction Geometry H infinity control computer science Layout Phase estimation computer vision

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Optimization based fingerprint direction field estimation

Optimization based fingerprint direction field estimation

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2005 27th Annual International conference of the Engineering in Medicine and Biology society, ieee-EMBS 2005

作者： Dongdong, Nie Lizhuang, Ma. XueZhong, Xiao Shuangjiu, Xiao Computer Science and Engineering Department Shanghai Jiao Tong University China

ISBN: (纸本)0780387406

Fingerprint direction field estimation is a key step among most of fingerprint enhancement systems, and so far, in most of systems it heavily relies on local ridge gradient information. However, this method is sensitive to noises and often results in poor estimation in regions where there are too much noises. In this paper, we introduce an effective algorithm to estimate the fingerprint direction field accurately. By using the global ridge characters, the fingerprint direction field is optimized from squared gradients. Experimental results indicate that our algorithm can improve the accuracy of the ridge direction estimation and reduce the influence of noises effectively. © 2005 ieee.

关键词： pattern recognition

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Palmprint identification algorithm using hu invariant moments and otsu binarization 05

Palmprint identification algorithm using hu invariant moment...

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4th Annual ACIS International conference on computer and Information Science, ICIS 2005

作者： Noh, Jin Soo Rhee, Kang Hyeon Dept. of Electronic Eng. College of Elec-Info Eng. Chosun University

ISBN: (纸本)0769522963

Recently, Biometrics-based personal identification is regarded as an effective method of person's identity with recognition automation and high performance. In this paper, the palmprint recognition method based on Hu invariant moment is proposed. And the low-resolution(75dpi) palmprint image(135×135 Pixel) is used for the small scale database of the effectual palmprint recognition system. The proposed system is consists of two parts: firstly, the palmprint fixed equipment for the acquisition of the correctly palmprint image and secondly, the algorithm of the efficient processing for the palmprint recognition. And the palmprint identification step is limited 3 times. As a results, when the coefficient is 0.001 then FAR and GAR are 0.038% and 98.1% each other. The authors confirmed that FAR is improved 0.002% and GAR is 0.1% each other compared with online palmprint Identification algorithm. © 2005 ieee.

关键词： pattern recognition

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Discriminant analysis with tensor representation

Discriminant analysis with tensor representation

引用

conference on computer vision and pattern recognition (cvpr)

作者： Shuicheng Yan Dong Xu Qiang Yang Lei Zhang Xiaoou Tang Hong-Jiang Zhang Department of Information Engineering Chinese University of Hong Kong Sha Tin Hong Kong China MOE-Microsoft Key Laboratory of Multimedia Computing and Communication & Department of EEIS University of Science and Technology Hefei Anhui China Department of Computer Science Hong Kong University of Science and Technology Hong Kong China Microsoft Research Asia Beijing China

ISBN: (纸本)0769523722

In this paper, we present a novel approach to solving the supervised dimensionality reduction problem by encoding an image object as a general tensor of 2nd or higher order. First, we propose a discriminant tensor criterion (DTC), whereby multiple interrelated lower-dimensional discriminative subspaces are derived for feature selection. Then, a novel approach called k-mode cluster-based discriminant analysis is presented to iteratively learn these subspaces by unfolding the tensor along different tensor dimensions. We call this algorithm discriminant analysis with tensor representation (DATER), which has the following characteristics: 1) multiple interrelated subspaces can collaborate to discriminate different classes; 2) for classification problems involving higher-order tensors, the DATER algorithm can avoid the curse of dimensionality dilemma and overcome the small sample size problem; and 3) the computational cost in the learning stage is reduced to a large extent owing to the reduced data dimensions in generalized eigenvalue decomposition. We provide extensive experiments by encoding face images as 2nd or 3rd order tensors to demonstrate that the proposed DATER algorithm based on higher order tensors has the potential to outperform the traditional subspace learning algorithms, especially in the small sample size cases.

关键词： Tensile stress Iterative algorithms Linear discriminant analysis Scattering Asia Image coding Clustering algorithms Algorithm design and analysis Principal component analysis Unsupervised learning

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Recovery of surface height using polarization from two views

引用

11th International conference on computer Analysis of Images and patterns, CAIP 2005

作者： Atkinson, Gary Hancock, Edwin R. Department of Computer Science University of York York YO1 5DD United Kingdom

ISBN: (纸本)3540289690

This paper describes a method for establishing stereo correspondences using diffuse polarization information. To do this we exploit the spontaneous polarization of light caused by reflection from dielectric surfaces to recover surface normals. The normals recovered from two different views are used to locally reconstruct surface height. The similarity between reconstructed surface regions determines whether or not a pair of points correspond to each other. The technique is able to overcome the convex/concave ambiguity found in many single view techniques. As the technique relies on smooth surface regions to detect correspondences it is applicable to objects that normally cause difficulty for stereo vision algorithms. © Springer-Verlag Berlin Heidelberg 2005.

关键词： pattern recognition

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Development of intelligent vision fusion based autonomous soccer robot

Development of intelligent vision fusion based autonomous so...

引用

2005 ieee International conference on Mechatronics, ICM '05

作者： Kuo, Chung-Hsien Yang, Chun-Ming Yang, Fang-Chung IEEE Graduate Institute of Medical Mechatronics Chang Gung University Tao-Yuan 333 Taiwan Graduate Institute of Mechanical Engineering Chang Gung University Tao-Yuan 333 Taiwan

ISBN: (纸本)0780389980

This paper proposes the hands-on implementations of the "Formosa middle size soccer robot", which is developed based on the Intelligent vision fusion sensing architecture. The proposed autonomous soccer robot consists of the mechanical platform, motion control module, "MapCam360" omni-directional vision module, front vision module, image processing and recognition module, investigated target object positioning and real coordinate reconstruction, robot path planning, subgoal definition, competition strategies, and obstacle avoidance. Especially, in order to increase the robustness of the vision sensing, the catadioptric omni-directional and front vision modules are dynamically switched according to the ball recognition results of the omni-directional camera. The previous mentioned hardware and software modules and components are all integrated, and the control modes are fused based on the relationships among the positions of the enemy robot, ball, goal, and field boundaries. In order to increase the motility and attackability, we design the dribbling and kicking mechanisms. In addition, the PC-based soccer robot controller is developed based on the embedded Linux platform. The motion control uses the Mitsubishi AC-servo motors and controllers to achieve higher reliability. Finally, the physical robot had been finished and tested, and we also validate the functional performance of "Formosa Middle size soccer robot" in terms of participating the "2004 Taiwan's annual middle size soccer robot competition". © 2005 ieee.

关键词： computer vision

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Text-pose estimation in 3D using edge-direction distributions

引用

2nd International conference on Image Analysis and recognition

作者： Bulacu, M Schomaker, L Univ Groningen AI Inst NL-9700 AB Groningen Netherlands

ISBN: (纸本)3540290699

This paper presents a method for estimating the orientation of planar text surfaces using the edge-direction distribution (EDD) extracted from the image as input to a neural network. We consider canonical rotations and we developed a mathematical model to analyze how the EDD changes with the rotation angle under orthographic projection. In order to improve performance and solve quadrant ambiguities, we adopt an active-vision approach by considering a pair of images (instead of only one) with a slight rotation difference between them. We then use the difference between the two EDDs as input to the network. Starting with camera-captured front-parallel images with text, we apply single-axis synthetic rotations to verify the validity of the EDD transform model and to train and test the network. The presented text-pose estimation method is intended to provide navigation guidance to a mobile robot capable of reading the textual content encountered in its environment.

关键词： Object recognition

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