2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops

21-23 Sept. 2005

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  • Workshop preface

    Publication Year: 2005, Page(s): i
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  • Object Tracking and Classification in and Beyond the Visible Spectrum - Table of contents

    Publication Year: 2005, Page(s): v
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  • Aims & Scope

    Publication Year: 2005, Page(s): ix
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  • Topics of Interest

    Publication Year: 2005, Page(s): x
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  • Welcome Message from the Chairs

    Publication Year: 2005, Page(s): xii
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  • Committee

    Publication Year: 2005, Page(s): xiii
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  • Sponsors

    Publication Year: 2005, Page(s): xiv
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  • Call for Papers

    Publication Year: 2005, Page(s): xv
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  • Open Call for Benchmark/Test Dataset

    Publication Year: 2005, Page(s): xvi
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  • Benchmark Dataset Collection

    Publication Year: 2005, Page(s): xvii
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  • Keynote Talk

    Publication Year: 2005, Page(s): xviii
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (26 KB) | HTML iconHTML

    Provides an abstract of the keynote presentation and a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings. View full abstract»

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  • Acknowledgements

    Publication Year: 2005, Page(s): xix
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  • Call for Papers

    Publication Year: 2005, Page(s): xx
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  • Model-based validation approaches and matching techniques for automotive vision based pedestrian detection

    Publication Year: 2005, Page(s): 1
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (430 KB) | HTML iconHTML

    Pedestrian detection is a challenging vision task, especially applied to the automotive field where the background changes as the vehicle moves. This paper presents an extensive study upon human body models and the techniques suitable for being used in a pedestrian detection system. Several different approaches for building model sets, such as synthetic, real, and dynamic sets are presented and di... View full abstract»

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  • A Combinational Approach to the Fusion, De-noising and Enhancement of Dual-Energy X-Ray Luggage Images

    Publication Year: 2005, Page(s): 2
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1140 KB) | HTML iconHTML

    X-ray luggage inspection systems play an important role in ensuring air travelers’ security. However, the false alarm rate of commercial systems can be as high as 20% due to less than perfect image processing algorithms. In an effort to reduce the false alarm rate, this paper proposes a combinational scheme to fuse, de-noise and enhance dual-energy X-ray images for better object classificatio... View full abstract»

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  • Multiperspective Thermal IR and Video Arrays for 3D Body Tracking and Driver Activity Analysis

    Publication Year: 2005, Page(s): 3
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1028 KB) | HTML iconHTML

    This paper presents a multi-perspective (i.e., four camera views) multi-modal (i.e., thermal infrared and color) video based system for robust and real-time 3D tracking of important body parts.The multi-perspective characteristics of the system provides 3Dtrajectory of the body parts, while the multi-modal characteristics of the system provides robustness and reliability of feature detection and t... View full abstract»

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  • Tracking Humans using Multi-modal Fusion

    Publication Year: 2005, Page(s): 4
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (758 KB) | HTML iconHTML

    Human motion detection plays an important role in automated surveillance systems. However, it is challenging to detect non-rigid moving objects (e.g. human) robustly in a cluttered environment. In this paper, we compare two approaches for detecting walking humans using multi-modal measurements- video and audio sequences. The first approach is based on the Time-Delay Neural Network (TDNN), which fu... View full abstract»

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  • Improved Likelihood Function in Particle-based IR Eye Tracking

    Publication Year: 2005, Page(s): 5
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (384 KB) | HTML iconHTML

    In this paper we propose a log likelihood-ratio function of foreground and background models used in a particle filter to track the eye region in dark-bright pupil image sequences. This model fuses information from both dark and bright pupil images and their difference image into one model. Our enhanced tracker overcomes the issues of prior selection of static thresholds during the detection of fe... View full abstract»

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  • Kernel Matched Signal Detectors for Hyperspectral Target Detection

    Publication Year: 2005, Page(s): 6
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2799 KB) | HTML iconHTML

    In this paper, we compare several detection algorithms that are based on spectral matched (subspace) filters. Nonlinear (kernel) versions of these spectral matched (subspace) detectors are also discussed and their performance is compared with the linear versions. These kernel-based detectors exploit the nonlinear correlations between the spectral bands that are ignored by the conventional detector... View full abstract»

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  • Spaceborne Traffic Monitoring with Dual Channel Synthetic Aperture Radar Theory and Experiments

    Publication Year: 2005, Page(s): 7
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (486 KB) | HTML iconHTML

    This paper revises the theoretical background for upcoming dual-channel Radar satellite missions to monitor traffic from space. As it is well-known, an object moving with a velocity deviating from the assumptions incorporated in the focusing process will generally appear both displaced and blurred in the azimuth direction. To study the impact of these (and related) distortions in focused SAR image... View full abstract»

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  • Comparative Image Fusion Analysais

    Publication Year: 2005, Page(s): 8
    Cited by:  Papers (24)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1197 KB) | HTML iconHTML

    Image fusion is and will be an integral part of many existing and future surveillance systems. However, little or no systematic attempt has been made up to now on studying the relative merits of various fusion techniques and their effectiveness on real multi-sensor imagery. In this paper we provide a method for evaluating the performance of image fusion algorithms. We define a set of measures of e... View full abstract»

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  • Performance Evaluation of Face Recognition using Visual and Thermal Imagery with Advanced Correlation Filters

    Publication Year: 2005, Page(s): 9
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (322 KB) | HTML iconHTML

    This paper presents the face recognition performance evaluation using visual and thermal infrared (IR) face images with correlation filter methods. New correlation filter designs have shown to be distortion invariant and the advantages of using thermal IR images are due to their invariance to visible illumination variations. A combined use of thermal IR image data and correlation filters makes a v... View full abstract»

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  • Integrating LDV Audio and IR Video for Remote Multimodal Surveillance

    Publication Year: 2005, Page(s): 10
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (377 KB) | HTML iconHTML

    This paper describes a multimodal surveillance system for human signature detection. The system consists of three types of sensors: infrared (IR) cameras, pan/tilt/zoom (PTZ) color cameras and laser Doppler vibrometers (LDVs). The LDV is explored as a new non-contact remote voice detector. We have found that voice energy vibrates most objects and the vibrations can be detected by an LDV. Since sig... View full abstract»

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  • Fusion-Based Background-Subtraction using Contour Saliency

    Publication Year: 2005, Page(s): 11
    Cited by:  Papers (35)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (377 KB) | HTML iconHTML

    We present a new contour-based background-subtraction technique using thermal and visible imagery for persistent object detection in urban settings. Statistical backgroundsubtraction in the thermal domain is used to identify the initial regions-of-interest. Color and intensity information are used within these areas to obtain the corresponding regionsof- interest in the visible domain. Within each... View full abstract»

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  • Background Estimation under Rapid Gain Change in Thermal Imagery

    Publication Year: 2005, Page(s): 12
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2423 KB) | HTML iconHTML

    We consider detection of moving ground vehicles in airborne sequences recorded by a thermal sensor with automatic gain control, using an approach that integrates dense optic flow over time to maintain a model of background appearance and a foreground occlusion layer mask. However, the automatic gain control of the thermal sensor introduces rapid changes in intensity that makes this difficult. In t... View full abstract»

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