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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 9 • Sept. 2011

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Displaying Results 1 - 22 of 22
  • [Front cover]

    Publication Year: 2011, Page(s): c1
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  • [Inside front cover]

    Publication Year: 2011, Page(s): c2
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  • Editorial

    Publication Year: 2011, Page(s):1697 - 1698
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  • Automatic Relocalization and Loop Closing for Real-Time Monocular SLAM

    Publication Year: 2011, Page(s):1699 - 1712
    Cited by:  Papers (25)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2697 KB) | HTML iconHTML

    Monocular SLAM has the potential to turn inexpensive cameras into powerful pose sensors for applications such as robotics and augmented reality. We present a relocalization module for such systems which solves some of the problems encountered by previous monocular SLAM systems-tracking failure, map merging, and loop closure detection. This module extends recent advances in keypoint recognition to ... View full abstract»

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  • C^4: Exploring Multiple Solutions in Graphical Models by Cluster Sampling

    Publication Year: 2011, Page(s):1713 - 1727
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3422 KB) | HTML iconHTML Multimedia Media

    This paper presents a novel Markov Chain Monte Carlo (MCMC) inference algorithm called C4-Clustering with Cooperative and Competitive Constraints-for computing multiple solutions from posterior probabilities defined on graphical models, including Markov random fields (MRF), conditional random fields (CRF), and hierarchical models. The graphs may have both positive and negative edges for... View full abstract»

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  • Discriminative Video Pattern Search for Efficient Action Detection

    Publication Year: 2011, Page(s):1728 - 1743
    Cited by:  Papers (66)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2949 KB) | HTML iconHTML Multimedia Media

    Actions are spatiotemporal patterns. Similar to the sliding window-based object detection, action detection finds the reoccurrences of such spatiotemporal patterns through pattern matching, by handling cluttered and dynamic backgrounds and other types of action variations. We address two critical issues in pattern matching-based action detection: 1) the intrapattern variations in actions, and 2) t... View full abstract»

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  • Iris Matching Based on Personalized Weight Map

    Publication Year: 2011, Page(s):1744 - 1757
    Cited by:  Papers (34)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1519 KB) | HTML iconHTML

    Iris recognition typically involves three steps, namely, iris image preprocessing, feature extraction, and feature matching. The first two steps of iris recognition have been well studied, but the last step is less addressed. Each human iris has its unique visual pattern and local image features also vary from region to region, which leads to significant differences in robustness and distinctivene... View full abstract»

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  • Layered Graphical Models for Tracking Partially Occluded Objects

    Publication Year: 2011, Page(s):1758 - 1775
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2387 KB) | HTML iconHTML

    We propose a representation for scenes containing relocatable objects that can cause partial occlusions of people in a camera's field of view. In many practical applications, relocatable objects tend to appear often; therefore, models for them can be learned offline and stored in a database. We formulate an occluder-centric representation, called a graphical model layer, where a person's motion in... View full abstract»

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  • Maximal Linear Embedding for Dimensionality Reduction

    Publication Year: 2011, Page(s):1776 - 1792
    Cited by:  Papers (31)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6306 KB) | HTML iconHTML

    Over the past few decades, dimensionality reduction has been widely exploited in computer vision and pattern analysis. This paper proposes a simple but effective nonlinear dimensionality reduction algorithm, named Maximal Linear Embedding (MLE). MLE learns a parametric mapping to recover a single global low-dimensional coordinate space and yields an isometric embedding for the manifold. Inspired b... View full abstract»

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  • Model-Based 3D Hand Pose Estimation from Monocular Video

    Publication Year: 2011, Page(s):1793 - 1805
    Cited by:  Papers (66)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1541 KB) | HTML iconHTML Multimedia Media

    A novel model-based approach to 3D hand tracking from monocular video is presented. The 3D hand pose, the hand texture, and the illuminant are dynamically estimated through minimization of an objective function. Derived from an inverse problem formulation, the objective function enables explicit use of temporal texture continuity and shading information while handling important self-occlusions and... View full abstract»

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  • Multiple Object Tracking Using K-Shortest Paths Optimization

    Publication Year: 2011, Page(s):1806 - 1819
    Cited by:  Papers (273)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1625 KB) | HTML iconHTML Multimedia Media

    Multi-object tracking can be achieved by detecting objects in individual frames and then linking detections across frames. Such an approach can be made very robust to the occasional detection failure: If an object is not detected in a frame but is in previous and following ones, a correct trajectory will nevertheless be produced. By contrast, a false-positive detection in a few frames will be igno... View full abstract»

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  • Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera

    Publication Year: 2011, Page(s):1820 - 1833
    Cited by:  Papers (234)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1911 KB) | HTML iconHTML

    In this paper, we address the problem of automatically detecting and tracking a variable number of persons in complex scenes using a monocular, potentially moving, uncalibrated camera. We propose a novel approach for multiperson tracking-by-detection in a particle filtering framework. In addition to final high-confidence detections, our algorithm uses the continuous confidence of pedestrian detect... View full abstract»

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  • Reading 1D Barcodes with Mobile Phones Using Deformable Templates

    Publication Year: 2011, Page(s):1834 - 1843
    Cited by:  Papers (9)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (997 KB) | HTML iconHTML

    Camera cellphones have become ubiquitous, thus opening a plethora of opportunities for mobile vision applications. For instance, they can enable users to access reviews or price comparisons for a product from a picture of its barcode while still in the store. Barcode reading needs to be robust to challenging conditions such as blur, noise, low resolution, or low-quality camera lenses, all of which... View full abstract»

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  • Robust Facial Feature Tracking Using Shape-Constrained Multiresolution-Selected Linear Predictors

    Publication Year: 2011, Page(s):1844 - 1859
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2610 KB) | HTML iconHTML Multimedia Media

    This paper proposes a learned data-driven approach for accurate, real-time tracking of facial features using only intensity information. The task of automatic facial feature tracking is nontrivial since the face is a highly deformable object with large textural variations and motion in certain regions. Existing works attempt to address these problems by either limiting themselves to tracking featu... View full abstract»

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  • Robustly Aligning a Shape Model and Its Application to Car Alignment of Unknown Pose

    Publication Year: 2011, Page(s):1860 - 1876
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4753 KB) | HTML iconHTML Multimedia Media

    Precisely localizing in an image a set of feature points that form a shape of an object, such as car or face, is called alignment. Previous shape alignment methods attempted to fit a whole shape model to the observed data, based on the assumption of Gaussian observation noise and the associated regularization process. However, such an approach, though able to deal with Gaussian noise in feature de... View full abstract»

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  • Secure and Robust Iris Recognition Using Random Projections and Sparse Representations

    Publication Year: 2011, Page(s):1877 - 1893
    Cited by:  Papers (94)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1933 KB) | HTML iconHTML

    Noncontact biometrics such as face and iris have additional benefits over contact-based biometrics such as fingerprint and hand geometry. However, three important challenges need to be addressed in a noncontact biometrics-based authentication system: ability to handle unconstrained acquisition, robust and accurate matching, and privacy enhancement without compromising security. In this paper, we p... View full abstract»

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  • Statistical Change Detection by the Pool Adjacent Violators Algorithm

    Publication Year: 2011, Page(s):1894 - 1910
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2515 KB) | HTML iconHTML

    In this paper, we present a statistical change detection approach aimed at being robust with respect to the main disturbance factors acting in real-world applications such as illumination changes, camera gain and exposure variations, noise. We rely on modeling the effects of disturbance factors on images as locally order-preserving transformations of pixel intensities plus additive noise. This all... View full abstract»

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  • Human Pose Estimation Using Consistent Max Covering

    Publication Year: 2011, Page(s):1911 - 1918
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2326 KB) | HTML iconHTML

    A novel consistent max-covering method is proposed for human pose estimation. We focus on problems in which a rough foreground estimation is available. Pose estimation is formulated as a jigsaw puzzle problem in which the body part tiles maximally cover the foreground region, match local image features, and satisfy body plan and color constraints. This method explicitly imposes a global shape cons... View full abstract»

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  • IEEE Computer Society OnlinePlus for TPAMI

    Publication Year: 2011, Page(s): 1919
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  • Distinguish yourself with the CSDP [advertisement]

    Publication Year: 2011, Page(s): 1920
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  • TPAMI Information for authors

    Publication Year: 2011, Page(s): c3
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  • [Back cover]

    Publication Year: 2011, Page(s): c4
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Aims & Scope

The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is published monthly. Its editorial board strives to present most important research results in areas within TPAMI's scope.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Sven Dickinson
University of Toronto
e-mail: sven@cs.toronto.edu