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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 7 • Date July 2014

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Displaying Results 1 - 21 of 21
  • Table of Contents

    Publication Year: 2014, Page(s): C1
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  • IEEE Transactions on Pattern Analysis and Machine Intelligence Editorial Board

    Publication Year: 2014, Page(s): C2
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  • As-Projective-As-Possible Image Stitching with Moving DLT

    Publication Year: 2014, Page(s):1285 - 1298
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3744 KB) | HTML iconHTML Multimedia Media

    The success of commercial image stitching tools often leads to the impression that image stitching is a “solved problem”. The reality, however, is that many tools give unconvincing results when the input photos violate fairly restrictive imaging assumptions; the main two being that the photos correspond to views that differ purely by rotation, or that the imaged scene is effectively ... View full abstract»

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  • Generalized Boundaries from Multiple Image Interpretations

    Publication Year: 2014, Page(s):1312 - 1324
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5136 KB) | HTML iconHTML

    Boundary detection is a fundamental computer vision problem that is essential for a variety of tasks, such as contour and region segmentation, symmetry detection and object recognition and categorization. We propose a generalized formulation for boundary detection, with closed-form solution, applicable to the localization of different types of boundaries, such as object edges in natural images and... View full abstract»

    Open Access
  • Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations

    Publication Year: 2014, Page(s):1299 - 1311
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1584 KB) | HTML iconHTML

    Fusing multiple continuous expert annotations is a crucial problem in machine learning and computer vision, particularly when dealing with uncertain and subjective tasks related to affective behavior. Inspired by the concept of inferring shared and individual latent spaces in Probabilistic Canonical Correlation Analysis (PCCA), we propose a novel, generative model that discovers temporal dependenc... View full abstract»

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  • Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments

    Publication Year: 2014, Page(s):1325 - 1339
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2298 KB) | HTML iconHTML

    We introduce a new dataset, Human3.6M, of 3.6 Million accurate 3D Human poses, acquired by recording the performance of 5 female and 6 male subjects, under 4 different viewpoints, for training realistic human sensing systems and for evaluating the next generation of human pose estimation models and algorithms. Besides increasing the size of the datasets in the current state-of-the-art by several o... View full abstract»

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  • Iterative Discovery of Multiple AlternativeClustering Views

    Publication Year: 2014, Page(s):1340 - 1353
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1678 KB) | HTML iconHTML

    Complex data can be grouped and interpreted in many different ways. Most existing clustering algorithms, however, only find one clustering solution, and provide little guidance to data analysts who may not be satisfied with that single clustering and may wish to explore alternatives. We introduce a novel approach that provides several clustering solutions to the user for the purposes of explorator... View full abstract»

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  • Multiple Kernel Learning for Visual Object Recognition: A Review

    Publication Year: 2014, Page(s):1354 - 1369
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2331 KB) | HTML iconHTML

    Multiple kernel learning (MKL) is a principled approach for selecting and combining kernels for a given recognition task. A number of studies have shown that MKL is a useful tool for object recognition, where each image is represented by multiple sets of features and MKL is applied to combine different feature sets. We review the state-of-the-art for MKL, including different formulations and algor... View full abstract»

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  • Relating Things and Stuff via ObjectProperty Interactions

    Publication Year: 2014, Page(s):1370 - 1383
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1459 KB) | HTML iconHTML

    In the last few years, substantially different approaches have been adopted for segmenting and detecting “things” (object categories that have a well defined shape such as people and cars) and “stuff” (object categories which have an amorphous spatial extent such as grass and sky). While things have been typically detected by sliding window or Hough transform based meth... View full abstract»

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  • Shape Analysis of Planar Multiply-Connected Objects Using Conformal Welding

    Publication Year: 2014, Page(s):1384 - 1401
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2978 KB) | HTML iconHTML

    Shape analysis is a central problem in the field of computer vision. In 2D shape analysis, classification and recognition of objects from their observed silhouettes are extremely crucial but difficult. It usually involves an efficient representation of 2D shape space with a metric, so that its mathematical structure can be used for further analysis. Although the study of 2D simply-connected shapes... View full abstract»

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  • Stereo Time-of-Flight with Constructive Interference

    Publication Year: 2014, Page(s):1402 - 1413
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2022 KB) | HTML iconHTML Multimedia Media

    This paper describes a novel method to acquire depth images using a pair of ToF (Time-of-Flight) cameras. As opposed to approaches that filter, calibrate or do 3D reconstructions posterior to the image acquisition, we combine the measurements of the two cameras within a modified acquisition procedure. The new proposed stereo-ToF acquisition is composed of three stages during which we actively modi... View full abstract»

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  • Structured Time Series Analysis for Human Action Segmentation and Recognition

    Publication Year: 2014, Page(s):1414 - 1427
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1597 KB) | HTML iconHTML Multimedia Media

    We address the problem of structure learning of human motion in order to recognize actions from a continuous monocular motion sequence of an arbitrary person from an arbitrary viewpoint. Human motion sequences are represented by multivariate time series in the joint-trajectories space. Under this structured time series framework, we first propose Kernelized Temporal Cut (KTC), an extension of prev... View full abstract»

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  • Tracking by Sampling and IntegratingMultiple Trackers

    Publication Year: 2014, Page(s):1428 - 1441
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2095 KB) | HTML iconHTML

    We propose the visual tracker sampler, a novel tracking algorithm that can work robustly in challenging scenarios, where several kinds of appearance and motion changes of an object can occur simultaneously. The proposed tracking algorithm accurately tracks a target by searching for appropriate trackers in each frame. Since the real-world tracking environment varies severely over time, the trackers... View full abstract»

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  • Visual Tracking: An Experimental Survey

    Publication Year: 2014, Page(s):1442 - 1468
    Cited by:  Papers (32)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3538 KB) | HTML iconHTML

    There is a large variety of trackers, which have been proposed in the literature during the last two decades with some mixed success. Object tracking in realistic scenarios is a difficult problem, therefore, it remains a most active area of research in computer vision. A good tracker should perform well in a large number of videos involving illumination changes, occlusion, clutter, camera motion, ... View full abstract»

    Open Access
  • What Makes a Photograph Memorable?

    Publication Year: 2014, Page(s):1469 - 1482
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5903 KB) | HTML iconHTML

    When glancing at a magazine, or browsing the Internet, we are continuously exposed to photographs. Despite this overflow of visual information, humans are extremely good at remembering thousands of pictures along with some of their visual details. But not all images are equal in memory. Some stick in our minds while others are quickly forgotten. In this paper, we focus on the problem of predicting... View full abstract»

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  • Learning Pullback HMM Distances

    Publication Year: 2014, Page(s):1483 - 1489
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (589 KB) | HTML iconHTML Multimedia Media

    Recent work in action recognition has exposed the limitations of methods which directly classify local features extracted from spatio-temporal video volumes. In opposition, encoding the actions' dynamics via generative dynamical models has a number of attractive features: however, using all-purpose distances for their classification does not necessarily deliver good results. We propose a general f... View full abstract»

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  • Open Access

    Publication Year: 2014, Page(s): 1490
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  • myIEEE

    Publication Year: 2014, Page(s): 1491
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  • Rock Stars of Cybersecurity Conference [advertisement]

    Publication Year: 2014, Page(s): 1492
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  • IEEE Transactions on Pattern Analysis and Machine Intelligence Information for Authors

    Publication Year: 2014, Page(s): C3
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  • IEEE Computer Society

    Publication Year: 2014, 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
David A. Forsyth
University of Illinois
e-mail: daf@illinois.edu