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Signal Processing Magazine, IEEE

Issue 2 • Date March 2005

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Displaying Results 1 - 25 of 26
  • Imaging for concealed weapon detection: a tutorial overview of development in imaging sensors and processing

    Page(s): 52 - 61
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2237 KB) |  | HTML iconHTML  

    Manual screening procedures for detecting concealed weapons such as handguns, knives, and explosives are common in controlled access settings like airports, entrances to sensitive buildings, and public events. The detection of weapons concealed underneath a person's clothing is an important obstacle to the improvement of the security of the general public as well as the safety of public assets like airports and buildings. It is desirable to be able to detect concealed weapons from a standoff distance, especially when it is impossible to arrange the flow of people through a controlled procedure. The goal is the eventual deployment of automatic detection and recognition of concealed weapons. It is a technological challenge that requires innovative solutions in sensor technologies and image processing. A number of sensors based on different phenomenology as well as image processing support are being developed to observe objects underneath people's clothing. The main aim of this article is to provide a tutorial overview of these developments. View full abstract»

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  • Smart video surveillance: exploring the concept of multiscale spatiotemporal tracking

    Page(s): 38 - 51
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4179 KB) |  | HTML iconHTML  

    Situation awareness is the key to security. Awareness requires information that spans multiple scales of space and time. Smart video surveillance systems are capable of enhancing situational awareness across multiple scales of space and time. However, at the present time, the component technologies are evolving in isolation. To provide comprehensive, nonintrusive situation awareness, it is imperative to address the challenge of multiscale, spatiotemporal tracking. This article explores the concepts of multiscale spatiotemporal tracking through the use of real-time video analysis, active cameras, multiple object models, and long-term pattern analysis to provide comprehensive situation awareness. View full abstract»

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  • New products

    Page(s): 98 - 100
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    Freely Available from IEEE
  • A root of less evil [digital signal processing]

    Page(s): 93 - 96
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1138 KB)  

    This work discusses several methods for estimating the square root of a number, with particular focus on high-speed techniques for approximating the square root of a single value as well as the square root of a sum of squares for quadrature (I/Q) vector magnitude estimation. The paper presents the Newton-Raphson inverse method and the nonlinear IIR filter method for estimating the square root of a single value using iterative methods. It also presents the binary-shift magnitude estimation method and the equiripple-error magnitude estimation method for estimating the magnitude of a complex number. View full abstract»

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  • Active video-based surveillance system: the low-level image and video processing techniques needed for implementation

    Page(s): 25 - 37
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3041 KB) |  | HTML iconHTML  

    The importance of video surveillance techniques has considerably increased since the latest terrorist incidents. Safety and security have become critical in many public areas, and there is a specific need to enable human operators to remotely monitor the activity across large environments. For these reasons, multicamera systems are needed to provide surveillance coverage across a wide area, ensuring object visibility over a large range of depths. In the development of advanced visual-based surveillance systems, a number of key issues critical to its successful operation must be addressed. This article describes the low-level image and video processing techniques needed to implement a modern surveillance system. In particular, the change detection methods for both fixed and mobile cameras (pan and tilt) are introduced and the registration methods for multicamera systems with overlapping and nonoverlapping views are discussed. View full abstract»

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  • 2004 IEEE SPS Awards presented [Society news]

    Page(s): 6 - 100
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  • The Perron-Frobenius theorem: some of its applications

    Page(s): 62 - 75
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1376 KB) |  | HTML iconHTML  

    The Perron-Frobenius theorem provides a simple characterization of the eigenvectors and eigenvalues of certain types of matrices with nonnegative entries. The importance of the Perron-Frobenius theorem stems from the fact that eigenvalue problems on these types of matrices frequently arise in many different fields of science and engineering. In this article, the authors discuss the applications of this theorem in diverse areas such as steady state behavior of Markov chains, power control in wireless networks, commodity pricing models in economics, population growth models, and Web search engines. The article starts with a review and discussion of the mathematical foundations. View full abstract»

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  • Dates ahead

    Page(s): 101
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  • A personal history of the Parks-McClellan algorithm

    Page(s): 82 - 86
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (573 KB)  

    This article describes the work that led to what is now known as the Parks-McClellan algorithm. Within the bigger picture of filter design methods, this paper recount events that had an impact on the inspiration to develop the Parks-McClellan algorithm, i.e., the Remez exchange algorithm with optimal Chebyshev approximation for FIR filter design. View full abstract»

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  • Active and cooperative learning in signal processing courses

    Page(s): 76 - 81
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (597 KB)  

    This work describes positive effects of using active and cooperative learning (ACL) methods to improve signal processing instruction. It provides examples, references, and assessment data that encourage other instructors to consider this approach. Conclusions are based on impressions gathered through conversations with students during office hours as well as on responses from anonymous student opinion surveys. In addition to these subjective assessments, preliminary quantitative data measured with the signals and systems concept inventory (SSCI) support the benefits of ACL techniques in signal processing courses. View full abstract»

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  • High-resolution slow-motion sequencing: how to generate a slow-motion sequence from a bit stream

    Page(s): 16 - 24
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1641 KB) |  | HTML iconHTML  

    Video surveillance is one of the applications where high-resolution (HR) images are crucial. The frames need to be super resolved to obtain an HR description of the scene and must be replayed at a relatively slow speed. HR slow-motion sequencing refers to the task of creating an HR slow-motion video from a given video bit stream. A better visual quality of slow video sequence can be obtained by applying the HR slow-motion sequencing algorithm to any given low-resolution (LR) video sequence. This article presents a tutorial concept demonstration type. It describes the image acquisition model utilized by the super resolution (SR) technique. The article also explains the general methodology used by the existing video compression standards to see how the existing SR techniques exploit the bit stream information to obtain the HR sequence. The authors also describe the method employed in obtaining the HR slow-motion sequences and demonstrate the results of the developed algorithm for surveillance videos. View full abstract»

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  • Advertisers index

    Page(s): 104
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  • When will smart antennas be ready for the market? Part I

    Page(s): 87 - 92
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (804 KB)  

    This work aims to shed more light on the issue of why smart antennas haven't yet penetrated the market despite all the research efforts that have been put into the technology. The paper looks at this issue from various perspectives and subdivides the discussions into fixed or nomadic and high mobility applications because of the different types of markets, demands, and technological barriers. View full abstract»

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  • IEEE Signal Processing Magazine

    Page(s): 0_1
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    Freely Available from IEEE
  • Table of contents

    Page(s): 1
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    Freely Available from IEEE
  • 2005 IEEE Workshop on Machine Learning for Signal Processing - Call for Papers

    Page(s): 5
    Save to Project icon | Request Permissions | PDF file iconPDF (482 KB)  
    Freely Available from IEEE
  • Awards: those presented and looking for nominations [Society news]

    Page(s): 6
    Save to Project icon | Request Permissions | PDF file iconPDF (418 KB)  
    Freely Available from IEEE
  • Call for Nominations IEEE Signal Processing Magazine

    Page(s): 97
    Save to Project icon | Request Permissions | PDF file iconPDF (1344 KB)  
    Freely Available from IEEE
  • Call for Papers IEEE Signal Processing Magazine Semantic Retrieval of Multimedia

    Page(s): 102
    Save to Project icon | Request Permissions | PDF file iconPDF (451 KB)  
    Freely Available from IEEE
  • Call for Articles IEEE Signal Processing Magazine Emerging Signal Processing Applications Column

    Page(s): 103
    Save to Project icon | Request Permissions | PDF file iconPDF (541 KB)  
    Freely Available from IEEE

Aims & Scope

IEEE Signal Processing Magazine publishes tutorial-style articles on signal processing research and applications, as well as columns and forums on issues of interest.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Min Wu
University of Maryland, College Park
United States 

http://www/ece.umd.edu/~minwu/