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Secure embedded visual sensing in end-user applications with TrustEYE.M4
2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
Year: 2015 | Conference Paper |
Sensor networks are becoming popular for applications in private environments such as home monitoring, baby and child monitoring or ambient assisted living. What is often overlooked is the fact that data collected in this context can be very privacy sensitive. This is especially true if images or videos are captured and streamed into the cloud. This work presents a visual sensor network device alo...Show More
Imagewarmness— A new perceptual feature for images and videos
2014 22nd European Signal Processing Conference (EUSIPCO)
Year: 2014 | Conference Paper |
Many basic, but very useful features, for characterizing an image or calculating the similarity between two images are based on color information. Psychological studies show that beyond the tone of color, different colors are also associated with different emotions. Thus, two colors that trigger the same impression are most likely considered to be more similar than two colors which trigger the opp...Show More
TrustEYE.M4: Protecting the sensor — Not the camera
2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
Year: 2014 | Conference Paper |
Cited by: Papers (23)
Images captured in camera networks are potentially privacy sensitive and therefore need protection. A critical aspect is where protection is applied - after transmission at the data center or preferably already on the camera. In this work we take on-camera protection a step further and propose to make privacy protection and security inherent features of the image sensing unit. Already within the c...Show More
Adaptive cartooning for privacy protection in camera networks
Ádám Erdélyi;Tibor Barát;Patrick Valet;Thomas Winkler;Bernhard Rinner
2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
Year: 2014 | Conference Paper |
Cited by: Papers (29)
Visual privacy in video-based applications such as surveillance, assisted living or home monitoring is a highly active research topic. It is critical to protect the privacy of monitored people without severely limiting the utility of the system. We present a resource-aware cartooning privacy protection filter which converts raw images into abstracted frames where the privacy revealing details are ...Show More
Sensor-level security and privacy protection by embedding video content analysis
2013 18th International Conference on Digital Signal Processing (DSP)
Year: 2013 | Conference Paper |
Cited by: Papers (14)
In traditional video camera networks privacy protection is performed, if at all, at the data center after the video has been streamed over the network. With the on-board processing capabilities of today's visual sensor network devices, image processing and privacy protection can be performed now on the cameras before any data is sent over the network. While moving privacy protection closer to the ...Show More
TETRA channel simulation for automatic speech recognition
Daniel Stein;Thomas Winkler;Jochen Schwenninger;Rolf Bardeli
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)
Year: 2012 | Conference Paper |
Cited by: Papers (1)
The problem of deterioated automatic speech recognition performance for telecommunication devices like mobile phones is well-studied. However, few papers analyse the influence of emergency broadcast radio devices such as the Terrestrial Trunked Radio (TETRA), which is used for many public safety networks in Europe and Asia. In this paper, we dissect several aspects of the TETRA encoding scheme whe...Show More
TrustCAM: Security and Privacy-Protection for an Embedded Smart Camera Based on Trusted Computing
2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance
Year: 2010 | Conference Paper |
Cited by: Papers (45)
Security and privacy protection are critical issues for public acceptance of camera networks. Smart cameras, with onboard image processing, can be used to identify and remove privacy sensitive image regions. Existing approaches, however, only address isolated aspects without considering the integration with established security technologies and the underlying platform. This work tries to fill this...Show More
User-Based Attestation for Trustworthy Visual Sensor Networks
2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing
Year: 2010 | Conference Paper |
Camera networks are used for a variety of applications including surveillance, traffic monitoring or elderly care. The shift from analog towards fully digitized systems has considerably increased their capabilities. With large-scale deployments of smart cameras and visual sensor networks, public awareness of privacy issues is increasing. Researchers are addressing these concerns by introducing pri...Show More
Power aware communication in wireless pervasive smart camera networks
2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
Year: 2009 | Conference Paper |
Cited by: Papers (1)
Visual sensor networks bring together the research domains of smart cameras and wireless sensor networks. Focusing on power consumption and longterm deployments, typical sensor nodes come with limited computing power and low communication performance. A smart camera that performs onboard video analysis and exchanges data with adjacent nodes has higher computation and communication requirements. Th...Show More
A pervasive smart camera network architecture applied for multi-camera object classification
Wolfgang Schriebl;Thomas Winkler;Andreas Starzacher;Bernhard Rinner
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)
Year: 2009 | Conference Paper |
Cited by: Papers (12)
Visual sensor networks are an emerging research area with the goal of using cameras as pervasive and affordable sensing and processing devices. This paper presents a pervasive smart camera platform which is built from off-the-shelf hardware and software components. The hardware platform is comprised of an OMAP 3530 processor, 128 MB RAM and various interfaces for connecting sensors and peripherals...Show More
Pervasive smart camera networks exploiting heterogeneous wireless channels
2009 IEEE International Conference on Pervasive Computing and Communications
Year: 2009 | Conference Paper |
Cited by: Papers (10)
Smart cameras are embedded systems that perform on-board video content analysis and only report detected events instead of permanently streaming videos. Visual sensor networks aim at integrating smart cameras with wireless sensor networks. Camera sensors have higher requirements regarding computing power and communication bandwidth than those typically used in wireless sensor network applications....Show More
The evolution from single to pervasive smart cameras
Bernhard Rinner;Thomas Winkler;Wolfgang Schriebl;Markus Quaritsch;Wayne Wolf
2008 Second ACM/IEEE International Conference on Distributed Smart Cameras
Year: 2008 | Conference Paper |
Having seen increased interest from the research community, smart camera systems have gone through a number of evolutionary steps like from single cameras to distributed smart camera systems with collaboration features. This work aims at defining a taxonomy to classify these systems based on their platform capabilities, the degree of distributed processing as well as system autonomy aspects coveri...Show More
Integrating multi-camera tracking into a dynamic task allocation system for smart cameras
M. Bramberger;M. Quaritsch;T. Winkler;B. Rinner;H. Schwabach
IEEE Conference on Advanced Video and Signal Based Surveillance, 2005.
Year: 2005 | Conference Paper |
This paper reports on the integration of multi-camera tracking into an agent-based framework, which features autonomous task allocation for smart cameras targeting traffic surveillance. Since our target platforms are distributed embedded systems with limited resources, the trackers may only be active, if the target is in the camera's field of view. Consequently, the tracking algorithm has to migra...Show More
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