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2012 19th IEEE International Conference on Image Processing

Date Sept. 30 2012-Oct. 3 2012

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Displaying Results 1 - 25 of 772
  • [Front cover]

    Publication Year: 2012, Page(s): c1
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  • [Title page]

    Publication Year: 2012, Page(s): i
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  • [Copyright notice]

    Publication Year: 2012, Page(s): ii
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  • Message from the general chair

    Publication Year: 2012, Page(s): iii
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  • Technical Program Chairs' overview

    Publication Year: 2012, Page(s):iv - v
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  • Organizing committee

    Publication Year: 2012, Page(s):vi - xvi
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  • Table of contents

    Publication Year: 2012, Page(s):xvii - lxxxvi
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  • Mismatch removal via coherent spatial mapping

    Publication Year: 2012, Page(s):1 - 4
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB) | HTML iconHTML

    We propose a method for removing mismatches from given putative point correspondences in image pairs. Our algorithm aims to recover the underlying coherent spatial mapping which related to inliers. The thin-plate spline (TPS) is chosen to parameterize the coherent spatial mapping, and we formulate the solution of it as a maximum likelihood problem. The mismatches could be successfully removed afte... View full abstract»

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  • Posterior constraints for double-counting problem in clustered pose estimation

    Publication Year: 2012, Page(s):5 - 8
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (254 KB) | HTML iconHTML

    In this paper, we propose a novel and integrated framework to estimate human pose. Firstly, a pose cluster of the relative location between connected parts is applied before pictorial structure modeling, which can make each model more faithful and the whole estimation more flexible to various kinds of poses. And then, different from previous single global model, we propose the mixture pictorial st... View full abstract»

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  • A novel Structured Light method for one-shot dense reconstruction

    Publication Year: 2012, Page(s):9 - 12
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1490 KB) | HTML iconHTML

    Dense acquisition for moving scenarios represents an active field of research in Structured Light (SL). A common solution is to project a single one-shot fringe pattern, extracting depth from the phase deviation of the imaged pattern. This implies the use of a phase unwrapping algorithm, which can fail in the presence of depth discontinuities and occlusions. Our work presents a new one-shot dense ... View full abstract»

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  • Multiscale framework for adaptive and robust enhancement of depth in multi-view imagery

    Publication Year: 2012, Page(s):13 - 16
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB) | HTML iconHTML

    Depth Image Based Rendering (DIBR) is a standard technique in free viewpoint television for rendering virtual camera views. For synthesis it utilizes one or several reference texture images and associated depth images, which contain information about the 3D structure of the scene. Many popular depth estimation methods infer the depth information by considering texture images in pairs. This often l... View full abstract»

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  • Hybrid structured light for scalable depth sensing

    Publication Year: 2012, Page(s):17 - 20
    Cited by:  Papers (4)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (591 KB) | HTML iconHTML

    Time multiplexing and spatial neighborhood are two mainstream structured light techniques widely used for 3D shape measurement. In this paper, we explore a way to subtly integrate their advantages for scalable depth sensing. This is realized through a set of elaborate hybrid structured patterns, which consists of three sinusoidal fringe patterns with different initial phases modulated by a pseudo-... View full abstract»

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  • Piecewise single view Photometric Stereo with multi-view constraints

    Publication Year: 2012, Page(s):21 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (527 KB) | HTML iconHTML

    This paper presents a novel Photometric Stereo approach for static views that recasts the problem into a piecewise formulation. The proposed algorithm, called Piecewise Photometric Stereo (PPS), entails several advantages in respect to previous global approaches. It is intrinsically more efficient, since reconstructing the surface in patches is computationally faster than reconstructing the global... View full abstract»

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  • Metric depth recovery from monocular images using Shape-from-Shading and specularities

    Publication Year: 2012, Page(s):25 - 28
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB) | HTML iconHTML

    Despite recent advances in modeling the Shape-from-Shading (SFS) problem and its numerical solution, practical applications have been limited. This is primarily due to the lack of perspective SFS models without the assumption of a light source at the camera centre and the non-metric spatial localisation of the reconstructed shape. In this work, we propose a novel formulation of the SFS problem tha... View full abstract»

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  • Object-centered narratives for video surveillance

    Publication Year: 2012, Page(s):29 - 32
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (666 KB) | HTML iconHTML

    Effective video presentation and summarization techniques are critical for fast browsing of video content. In this paper, we propose a novel presentation approach to vividly depict the moving process of a specific object in a surveillance video, which aims at effectively summarizing video content by a static image named narrative. Firstly, the object of interest is extracted and segmented from the... View full abstract»

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  • Wide area video surveillance with spatial-temporal constraints

    Publication Year: 2012, Page(s):33 - 36
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (537 KB) | HTML iconHTML

    We propose a novel method for the problem of target retrieval for wide area video surveillance (WAVS). Different from previous methods, our algorithm does not require environment model construction nor the learning or usage of any transition probabilities. Furthermore, our method can be applied to an arbitrarily large area for surveillance. The essence of our method lies in an optimization problem... View full abstract»

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  • A distance metric learning based summarization system for nursery school surveillance video

    Publication Year: 2012, Page(s):37 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB) | HTML iconHTML

    In this paper, we present a system for summarizing nursery school surveillance video. The system takes full use of a learned distance metric, which can properly measure the similarity between videos. The metric is combined with supervised classification and unsupervised clustering, to categorize raw video materials into individual events. By selecting representative videos for each event, the syst... View full abstract»

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  • Assessment of customers' level of interest

    Publication Year: 2012, Page(s):41 - 44
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (285 KB) | HTML iconHTML

    Surveillance systems in shopping malls or supermarkets are usually designated for assuring safety and detecting abnormal behavior. We used the distributed video cameras system to design digital shopping assistants which assess the behavior of customers while shopping, detect when they need assistance, and offer their support in case there is a selling opportunity. In this paper we propose a system... View full abstract»

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  • Action based video summarization for convenience stores

    Publication Year: 2012, Page(s):45 - 48
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (478 KB) | HTML iconHTML

    Given the size and congestion associated with a standard convenience store, it is possible to achieve automated site-wide tracking for each customer via a network of in-store video cameras. For the purposes of reducing customer related shrinkage (theft), it may be advantageous to produce summary videos of the activities associated with each customer. As the customer approaches an exit or checkout ... View full abstract»

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  • Adaptive texture-color based background subtraction for video surveillance

    Publication Year: 2012, Page(s):49 - 52
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB) | HTML iconHTML

    Texture and color are two primitive forms of features that can be used to describe a scene. While conventional local binary pattern (LBP) texture based background subtraction performs well on texture rich regions, it fails to detect uniform foreground objects in large uniform background. As such, color information can be used to complement texture feature. In this study, we propose to incorporate ... View full abstract»

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  • Contrast Invariant and Affine sub-pixel Optical Flow

    Publication Year: 2012, Page(s):53 - 56
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (270 KB) | HTML iconHTML

    This paper presents the Contrast Invariant and Affine Optical Flow (CIAO), a dense area-based sub-pixel image matching algorithm. CIAO does not force the estimated disparity field between two images to be smooth and allows for contrast and brightness changes. It is robust to drastic changes in the images' content thanks to an adaptive weighting of the neighboring pixels. In addition, the proposed ... View full abstract»

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  • From optical flow to dense long term correspondences

    Publication Year: 2012, Page(s):61 - 64
    Cited by:  Papers (4)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (563 KB) | HTML iconHTML

    Dense point matching and tracking in image sequences is an open issue with implications in several domains, from content analysis to video editing. We observe that for long term dense point matching, some regions of the image are better matched by concatenation of consecutive motion vectors, while for others a direct long term matching is preferred. We propose a method to optimally estimate the co... View full abstract»

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  • Fast obstacle detection using targeted optical flow

    Publication Year: 2012, Page(s):65 - 68
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (802 KB) | HTML iconHTML

    This paper presents a new method for obstacle detection using optical flow. The method employs a highly efficient and accurate adaptive motion detection algorithm for determining the regions in the image which are more likely to contain obstacles. These regions then have optical flow performed on them. We call this method targeted optical flow. Targeted optical flow performs significantly faster c... View full abstract»

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  • Fluid optical flow for forces and pressure field estimation in cellular biology

    Publication Year: 2012, Page(s):69 - 72
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (743 KB) | HTML iconHTML

    We aim at analysing fluorescence microscopy sequences of moving cells, so as to estimate the velocities that define the movement, the forces that drive this movement, and the pressure that characterises the material state. We use an optical flow method constrained by Stokes flow mechanics equations that define the dynamics of a fluid that is incompressible, homogeneous and viscous. We present a fi... View full abstract»

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  • Semi-local variational optical flow estimation

    Publication Year: 2012, Page(s):77 - 80
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (477 KB) | HTML iconHTML

    Global variational methods for optical flow estimation usually suffer from an over-smoothing effect. We propose a semi-local estimation framework designed to integrate and improve any variational method. The idea is to implicitly segment the minimization domain into coherently moving windows. In a first time, local variational estimations are performed in overlapping candidate square regions. Then... View full abstract»

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