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Chapter and Conference Paper
Piggybacking Detection Based on Coupled Body-Feet Recognition at Entrance Control
A major risk of an automated high-security entrance control is that an authorized person takes an unauthorized person into the secured area. This practice is called “piggybacking”. Known systems try to prevent...
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Chapter and Conference Paper
An Intuitive and Personal Projection Interface for Enhanced Self-management
Smart environments offer a high potential to improve intuitive and personal interactions in our everyday life. Nowadays, we often get distracted by interfaces and have to adapt ourselves to the technology, ins...
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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...
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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 ...
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Chapter and Conference Paper
A Look at Feet: Recognizing Tailgating via Capacitive Sensing
At many every day places, the ability to be reliably able to determine how many individuals are within an automated access control area, is of great importance. Especially in high-security areas such as banks ...
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Chapter and Conference Paper
Cinematic Narration in VR – Rethinking Film Conventions for 360 Degrees
The rapid development of VR technology in the past three years allowed artists, filmmakers and other media producers to create great experiences in this new medium. But filmmakers are, however, facing big chal...
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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...
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Chapter and Conference Paper
Combining Low-Level Features of Offline Questionnaires for Handwriting Identification
When using anonymous offline questionnaires for reviewing services or products it is often not guaranteed that a reviewer does this only once as intended. In this paper an applied combination of different feat...
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Chapter and Conference Paper
Stereo-Image Normalization of Voluminous Objects Improves Textile Defect Recognition
The visual detection of defects in textiles is an important application in the textile industry. Existing systems require textiles to be spread flat so they appear as 2D surfaces, in order to detect defects. I...
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Article
Sliding spark spectroscopy – rapid survey analysis of flame retardants and other additives in polymers
A sliding spark spectrometer with a new powerful excitation source was used to detect halogens, flame retardants and metals in non-chlorine containing polymers. The sliding spark source generated discharges u...
