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IET Computer Vision

Issue 1 • Date January 2012

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Displaying Results 1 - 8 of 8
  • Adaptive mean-shift for automated multi object tracking

    Publication Year: 2012, Page(s):1 - 12
    Cited by:  Papers (10)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1504 KB)

    Mean-shift tracking plays an important role in computer vision applications because of its robustness, ease of implementation and computational efficiency. In this study, a fully automatic multiple-object tracker based on mean-shift algorithm is presented. Foreground is extracted using a mixture of Gaussian followed by shadow and noise removal to initialise the object trackers and also used as a k... View full abstract»

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  • Multiview geometry in traditional vision and omnidirectional vision under the l∞-norm

    Publication Year: 2012, Page(s):13 - 20
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (346 KB)

    This study presents a review of multiview geometry problems in traditional vision and omnidirectional vision under the L-norm. The main advantage of this approach is a theoretical guarantee of global optimality. First, three core problems in multiview geometry in traditional vision are formulated as second-order cone programming feasibility problems. The extension of ... View full abstract»

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  • Hierarchical stochastic fast search motion estimation algorithm

    Publication Year: 2012, Page(s):21 - 28
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (537 KB)

    Many fast search motion estimation algorithms have been developed to reduce the computational cost required by full-search algorithms. Fast search motion estimation techniques often converge to a local minimum, providing a significant reduction in computational cost. The motion vector measurement process in fast search algorithms is subject to noise and matching errors. Therefore researchers have ... View full abstract»

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  • Depth measurement using single camera with fixed camera parameters

    Publication Year: 2012, Page(s):29 - 39
    Cited by:  Papers (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1505 KB)

    Owing to the space limitation and the strict requirement on operation, depth measurement using single visual sensor is necessary in many applications, such as mini-robot, precision processing and micro/nano-manipulation. Depth from defocus (DFD), a typical method applied in depth reconstruction, has been extensively researched and has developed greatly in recent years. However, all the existing DF... View full abstract»

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  • Vanishing point detection in corridors: using hough transform and K-means clustering

    Publication Year: 2012, Page(s):40 - 51
    Cited by:  Papers (8)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1404 KB)

    One of the main challenges in steering a vehicle or a robot is the detection of appropriate heading. Many solutions have been proposed during the past few decades to overcome the difficulties of intelligent navigation platforms. In this study, the authors try to introduce a new procedure for finding the vanishing point based on the visual information and K-Means clustering. Unlike other solutions ... View full abstract»

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  • Scale and orientation adaptive mean shift tracking

    Publication Year: 2012, Page(s):52 - 61
    Cited by:  Papers (21)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (841 KB)

    A scale and orientation adaptive mean shift tracking (SOAMST) algorithm is proposed in this study to address the problem of how to estimate the scale and orientation changes of the target under the mean shift tracking framework. In the original mean shift tracking algorithm, the position of the target can be well estimated, whereas the scale and orientation changes cannot be adaptively estimated. ... View full abstract»

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  • Robust mean-shift tracking with corrected background-weighted histogram

    Publication Year: 2012, Page(s):62 - 69
    Cited by:  Papers (23)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (661 KB)

    The background-weighted histogram (BWH) algorithm proposed by Comaniciu et al. attempts to reduce the interference of background in target localisation in mean-shift tracking. However, the authors prove that the weights assigned to pixels in the target candidate region by BWH are proportional to those without background information, that is, BWH does not introduce any new information becaus... View full abstract»

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  • Evaluation of two-part algorithms for objects' depth estimation

    Publication Year: 2012, Page(s):70 - 78
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (572 KB)

    During the last decade, a wealth of research was devoted to building integrated vision systems capable of both recognising objects and providing their spatial information. Object recognition and pose estimation are among the most popular and challenging tasks in computer vision. Towards this end, in this work the authors propose a novel algorithm for objects' depth estimation. Moreover, they compa... View full abstract»

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Aims & Scope

IET Computer Vision seeks original research papers in a wide range of areas of computer vision. The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in Computer Vision.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Majid Mirmehdi
University of Bristol
UK

Publisher
Editorial Assistant
IET Research Journals
Michael Faraday House
Six Hills Way
Stevenage  SG1 2AY  SG1 2AY  United Kingdom
iet_cvi@theiet.org