Daniel Weiler, Volker Willert, Julian Eggert,
"A Probabilistic Prediction Method for Object Contour Tracking",
Artificial Neural Networks - ICANN, 18th International Conference, 2008.
Abstract
In this paper we present an approach for probabilistic contour prediction in an object tracking system. We combine level-set methods for image segmentation with optical flow estimations based on probability distribution functions (pdf’s) calculated at each image position. Unlike most recent level-set methods that consider exclusively the sign of the level-set function to determine an object and its background, we introduce a novel interpretatio...
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Sven Schrader, Sonja Grün, Markus Diesmann, George Gerstein,
"Detecting synfire chain activity using massively parallel spike train recording",
Journal of Neurophysiology, vol. 100, no. 4, pp. 2165–2176, 2008.
Abstract
The synfire chain model has been proposed as the substrate that underlies computational processes in the brain and has received extensive theoretical study. In this model cortical tissue is composed of a superposition of feedforward subnetworks (chains) each capable of transmitting packets of synchronized spikes with high reliability. Computations are then carried out by interactions of these chains. Experimental evidence for synfire chains has s...
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Sven Rebhan, Florian Röhrbein, Julian Eggert, Edgar Körner,
"Attention Modulation Using Short- and Long-Term Knowledge",
LNCS 2008, pp. 151–160, 2008.
Abstract
A fast and reliable visual search is crucial for representing visual scenes. The modulation of bottom-up attention plays an important role here. The knowledge about target features is often used to bias the bottom-up pathway. In this paper we propose a system which does not only make use of knowledge about the target features, but also uses already acquired knowledge about objects in the current scene to speed up the visual search. Main ingredien...
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Irene Clemente,
"Investigation and Implementation of a level-set based tracking system, incorporating contour prediction by means of different, collaborating prediction algorithms",
TU Darmstadt, 2008.
Abstract
Object tracking is a challenging task in many computer vision applications such as automated surveillance systems, driver assistance and humanoid robots. A crucial step in object tracking is object segmentation, which is in charge of the detection of the object to track. Level set methods are a powerful approach for image segmentation. These methods are based on the iterative deformation of a surface, the level set function, which provides the co...
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Tobias Rodemann, Gökhan Ince, Frank Joublin, Christian Goerick,
"Using Binaural and Spectral Cues for Azimuth and Elevation Localization",
IEEE-RSJ International Conference on Intelligent Robot and Systems (IROS 2008), 2008.
Abstract
It is a common assumption that with just two microphones only the azimuth angle of a sound source can be estimated and that a third, orthogonal microphone (or set of microphones) is necessary to estimate the elevation of the source. Recently, using specially designed ears and analyzing spectral cues several researchers managed to estimate sound source elevation with a binaural system. In this work, we show that with two bionic ears both azimuth a...
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Inna Mikhailova, Martin Heracles, Bram Bolder, Herbert Janßen, Holger Brandl, Jens Schmüdderich, Christian Goerick,
"Coupling of mental concepts to a reactive layer: incremental approach in system design",
Proceedings of the 8th International Workshop on Epigenetic Robotics, Brighton, England, 2008.
Abstract
The design of a system that bootstraps an open-ended development is one of the most intriguing questions in Developmental Robotics. Inspired by evolution we propose an incremental design. We start with a reactive layer that provides task-unspecific interaction with the environment. We extend this initial layer by a layer of multi-modal expectation generation. The two layers are coupled by means of an active resolution of expectation mismatches. S...
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Jan Biel,
"Core Knowledge for a Humanoid Robot Based on Findings in Human Infant Research",
TU Clausthal, 2008.
Abstract
Converging evidence from the field of cognitive science promotes the assumption that certain core abilities might be available to the human infant from birth. One of these is the ability to discriminate between inanimate objects and agents. Furthermore, studies with infants show that the ability to infer the goal of an agent is available to the human child within its first year of life. These findings provide an interesting interface with the fie...
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Philipp Schwesig,
"Development of a Realtime System for Gender Adaptive Formant Extraction",
University of Applied Sciences Frankfurt, 2008.
Abstract
The purpose of this diploma thesis is the extension of the existing formant extraction system to the parameter of the gender. The formants describing the resonance frequencies of the vocal tract are slightly different for male and female speakers. This was the essential point leading to the attempt of improving the robustness of the existing formant extraction system by the gender information. Previous to this diploma thesis it has been shown tha...
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Jens Schmüdderich, Volker Willert, Julian Eggert, Sven Rebhan, Christian Goerick, Gerhard Sagerer, Edgar Körner,
"Estimating Object Proper Motion Using Optical Flow, Kinematics, and Depth Information",
IEEE Systems, Man, and Cybernetics Part B: Cybernetics, vol. 38, no. 4, pp. 1139-1151, 2008.
Abstract
For the interaction of a mobile robot with a dynamic environment, the estimation of object motion is desired while the robot is walking and/or turning its head. In this paper, we describe a system which manages this task by combining depth from a stereo camera and computation of the camera movement from robot kinematics in order to stabilize the camera images. Moving objects are detected by applying optical flow to the stabilized images followed ...
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Ingo Paenke, Tadeusz Kawecki, Bernhard Sendhoff,
"The influence of learning on evolution – A mathematical framework",
Artificial Life, vol. 15, no. 2, 2008.
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