Markus Quaritsch

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There is currently a strong trend towards the deployment of advanced computer vision methods on embedded systems. This deployment is very challenging since embedded platforms often provide limited resources such as computing performance, memory, and power. In this paper we present a multicamera tracking method on distributed, embedded smart cameras. Smart(More)
Unmanned aerial vehicles (UAVs) have been recently deployed in various civilian applications such as environmental monitoring, aerial imaging or surveillance. Small-scale UAVs are of special interest for first responders since they can rather easily provide bird’s eye view images of disaster areas. In this paper we present a hybrid approach to mosaick an(More)
Microdrones are small-scale unmanned aerial vehicles (UAVs) carrying payloads such as cameras and sensors. Such microdrones enable us to obtain a bird’s eye view of the environment which is helpful in many applications such as environmental monitoring, surveillance or disaster management. This position paper reports on our recently launched project(More)
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.(More)
In this paper, we compare deterministic and probabilistic path planning strategies for an autonomous unmanned aerial vehicle (UAV) network, where the objective is to explore a given area with obstacles and provide an overview image. We present both online and offline implementations of the algorithms as alternative solutions, where applicable, and analyze(More)
Until the availability of Kernel 2.6 the Linux operating system lacked general support to integrate security mechanisms into the kernel. The Linux Security Module Framework (LSM) was designed to overcome this limitation. Although LSM provides a solid baseline for kernel security, it lacks important features. In this paper two of these limitations are(More)
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(More)
Advances in control engineering and material science made it possible to develop small-scale unmanned aerial vehicles (UAVs) equipped with cameras and sensors. These UAVs enable us to obtain a bird’s eye view of the environment. Having access to an aerial view over large areas is helpful in disaster situations, where often only incomplete and inconsistent(More)
Two trends emerge in recent image processing research: distributed computing and embedded processing. Both trends are exemplified in smart cameras which combine image sensing, image processing and communication on a single embedded device. Networks of distributed smart cameras help to overcome some hard problems that are inherent in single-camera systems.(More)
In the recent past, much effort has been put into the development of distributed vision systems with smart cameras as key components. Smart cameras combine video sensing, processing and communication within a single embedded device and provide sufficient on-board infrastructure to carry out high-level video analysis tasks. Networks of smart cameras help to(More)