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  1. No Access

    Article

    A template consensus method for visual tracking

    Visual tracking is a challenging problem in computer vision. Recently, correlation filter-based trackers have shown to provide excellent tracking performance. Inspired by a sample consensus approach proposed f...

    Tong-xue Zhou 周同雪, Dong-dong Zeng 曾冬冬, Ming Zhu 朱明 in Optoelectronics Letters (2019)

  2. No Access

    Chapter and Conference Paper

    Detecting Face Morphing Attacks by Analyzing the Directed Distances of Facial Landmarks Shifts

    Face morphing attacks create face images that are verifiable to multiple identities. Associating such images to identity documents lead to building faulty identity links, causing attacks on operations like bor...

    Naser Damer, Viola Boller, Yaza Wainakh, Fadi Boutros in Pattern Recognition (2019)

  3. No Access

    Chapter and Conference Paper

    Minutiae-Based Gender Estimation for Full and Partial Fingerprints of Arbitrary Size and Shape

    Since fingerprints are one of the most widely deployed biometrics, accurate fingerprint gender estimation can positively affect several applications. For example, in criminal investigations, gender classificat...

    Philipp Terhörst, Naser Damer, Andreas Braun, Arjan Kuijper in Computer Vision – ACCV 2018 (2019)

  4. No Access

    Chapter and Conference Paper

    Prototy** Shape-Sensing Fabrics Through Physical Simulation

    Embedding sensors into fabrics can leverage substantial improvements in application areas like working safety, 3D modeling or health-care, for example to recognize the risk of develo** skin ulcers. Finding a...

    Silvia Rus, Felix Hammacher, Julian von Wilmsdorff, Andreas Braun in Ambient Intelligence (2018)

  5. Chapter and Conference Paper

    Text Localization in Born-Digital Images of Advertisements

    Localizing text in images is an important step in a number of applications and fundamental for optical character recognition. While born-digital text localization might look similar to other complex tasks in t...

    Dirk Siegmund, Aidmar Wainakh, Tina Ebert in Progress in Pattern Recognition, Image Ana… (2018)

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    Chapter and Conference Paper

    Exploring Adversarial Examples

    Failure cases of black-box deep learning, e.g. adversarial examples, might have severe consequences in healthcare. Yet such failures are mostly studied in the context of real-world images with calibrated attac...

    David Kügler, Alexander Distergoft in Understanding and Interpreting Machine Lea… (2018)

  7. No Access

    Chapter and Conference Paper

    An Integrated Deep Neural Network for Defect Detection in Dynamic Textile Textures

    This paper presents a comprehensive defect detection method for two common fabric defects groups. Most existing systems require textiles to be spread out in order to detect defects. This method can be applied ...

    Dirk Siegmund, Ashok Prajapati in Progress in Artificial Intelligence and Pa… (2018)

  8. Chapter and Conference Paper

    Web-Based Visualization Component for Geo-Information

    Three-dimensional visualization of maps is becoming an increasingly important issue on the Internet. The growing computing power of consumer devices and the establishment of new technologies like HTML5 and Web...

    Ralf Gutbell, Lars Pandikow, Arjan Kuijper in Human Interface and the Management of Info… (2018)

  9. No Access

    Chapter and Conference Paper

    Eliminating the Ground Reference for Wireless Electric Field Sensing

    Capacitive systems are getting more and more attention these days. But many systems today like smart-phone screens, laptops, and non-mechanical buttons use capacitive techniques to measure events within severa...

    Julian von Wilmsdorff, Florian Kirchbuchner, Andreas Braun in Ambient Intelligence (2018)

  10. No Access

    Chapter and Conference Paper

    Surface Acoustic Arrays to Analyze Human Activities in Smart Environments

    Smart Environments should be able to understand a user’s need without explicit interaction. In order to do that, one step is to build a system that is able to recognize and track some common activities of the ...

    Biying Fu, Matthias Ruben Mettel, Florian Kirchbuchner in Ambient Intelligence (2018)

  11. Chapter and Conference Paper

    Visualization of Zoomable 2D Projections on the Web

    The objective of the work is the research and development of a web-based visualization system for the creation and testing of zoomable projection cards. The basic idea is to project a multidimensional data set...

    Michael Maus, Tobias Ruppert, Arjan Kuijper in HCI in Business, Government, and Organizat… (2018)

  12. No Access

    Chapter and Conference Paper

    Step by Step: Early Detection of Diseases Using an Intelligent Floor

    The development of sensor technologies in smart homes helps to increase user comfort or to create safety through the recognition of emergency situations. For example, lighting in the home can be controlled or ...

    Lisa Scherf, Florian Kirchbuchner, Julian von Wilmsdorff, Biying Fu in Ambient Intelligence (2018)

  13. Chapter and Conference Paper

    Visual Guidance to Find the Right Spot in Parameter Space

    The last few decades brought upon a technological revolution that has been generating data by users with an ever increasing variety of digital devices, resulting in such an incredible volume of data, that we a...

    Alexander Brakowski, Sebastian Maier in Human Interface and the Management of Info… (2018)

  14. No Access

    Article

    Mutual Information-Based Tracking for Multiple Cameras and Multiple Planes

    Based on mutual information (MI), this paper proposes a systematic analysis of tracking a multi-plane object with multiple cameras. Firstly, a geometric model consisting of a piecewise planar object and multip...

    Zhuoman Wen, Arjan Kuijper in Arabian Journal for Science and Engineering (2017)

  15. No Access

    Chapter and Conference Paper

    An Exploratory Study on Electric Field Sensing

    Electric fields are influenced by the human body and other conducting materials. Capacitive measurement techniques are used in touch-screens, in the automobile industry, and for presence and activity recogniti...

    Julian von Wilmsdorff, Florian Kirchbuchner, Biying Fu in Ambient Intelligence (2017)

  16. No Access

    Chapter and Conference Paper

    New Approach for Optimizing the Usage of Situation Recognition Algorithms Within IoT Domains

    The growth of the Internet of Things (IoT) over the past few years enabled a lot of application domains. Due to the increasing number of IoT connected devices, the amount of generated data is increasing too. P...

    Chinara Mammadova, Helmi Ben Hmida, Andreas Braun, Arjan Kuijper in Ambient Intelligence (2017)

  17. No Access

    Chapter and Conference Paper

    E-Textile Couch: Towards Smart Garments Integrated Furniture

    Application areas like health-care and smart environments have greatly benefited from embedding sensors into every-day-objects, enabling for example sleep apnea detection. We propose to further integrate parts...

    Silvia Rus, Andreas Braun, Arjan Kuijper in Ambient Intelligence (2017)

  18. Chapter and Conference Paper

    Fiber Defect Detection of Inhomogeneous Voluminous Textiles

    Quality assurance of dry cleaned industrial textiles is still a mostly manually operated task. In this paper, we present how computer vision and machine learning can be used for the purpose of automating defec...

    Dirk Siegmund, Timotheos Samartzidis, Biying Fu, Andreas Braun in Pattern Recognition (2017)

  19. No Access

    Chapter and Conference Paper

    Indexing of Single and Multi-instance Iris Data Based on LSH-Forest and Rotation Invariant Representation

    Indexing of iris data is required to facilitate fast search in large-scale biometric systems. Previous works addressing this issue were challenged by the tradeoffs between accuracy, computational efficacy, sto...

    Naser Damer, Philipp Terhörst, Andreas Braun in Computer Analysis of Images and Patterns (2017)

  20. No Access

    Chapter and Conference Paper

    Neighbor Distance Ratios and Dynamic Weighting in Multi-biometric Fusion

    Multi-biometrics aims at building more accurate unified biometric decisions based on the information provided by multiple biometric sources. Information fusion is used to optimize the process of creating this ...

    Naser Damer, Wael Alkhatib, Andreas Braun in Pattern Recognition and Image Analysis (2017)

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