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检索条件"机构=Department of Image Processing and Neurocomputing"

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Dynamic training of hand gesture recognition system

Dynamic training of hand gesture recognition system

引用

International Conference on Pattern Recognition

作者： A. Licsar T. Sziranyi Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary Analogical & Neural Computing Laboratory Computer & Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

We developed an augmented reality tool for vision-based hand gesture recognition in a camera-projector system. Our recognition method uses modified Fourier descriptors for the classification of static hand gestures. Hand segmentation is based on a background subtraction method, which is improved to handle background changes. Most of the recognition methods are trained and tested by the same service-person, and training phase occurs only preceding the interaction. However, there are numerous situations when several untrained users would like to use gestures for the interaction. In our new practical approach the correction of faulty detected gestures is done during the recognition itself. Our main result is the quick on-line adaptation to the gestures of a new user to achieve user-independent gesture recognition.

关键词： Computer displays Cameras Fault detection Mice Hardware Phase detection System testing Feedback Auditory displays image processing

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Depth-based indexing and retrieval of photographic images1

引用

8th International Workshop on Visual Content processing and Representation, VLBV 2003

作者： Czúni, László Csordás, Dezso Department of Image Processing and Neurocomputing University of Veszprém Egyetem u. 10 Veszprém8200 Hungary

ISBN: (纸本)3540200819

This paper proposes a new technique for image capture, indexing, and retrieval to implement a content-based image retrieval (CBIR) system more similar to the way people remember the real world [2]. The introduced technique uses range from focus technique to gather 3D information of a scene. The obtained depth-map is segmented and stored together with each individual image in database files. During retrieval the user can describe the query image not only in a conventional way but also with a layered representation where a few (typically 3) depth layers define the distance from the camera. This paper describes the beginning of our research with some preliminary results showing that depth information can be efficiently used in CBIR systems. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Query processing

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Measuring the motion similarity in video indexing

Measuring the motion similarity in video indexing

引用

IEEE Region 8 International Symposium on Video/image processing and Multimedia Communications (EURASIP)

作者： A. Hanis T. Sziranyi Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary

Recent growth in the number of digital videos available motivates the development of video databases for the efficient management of these videos. Common video databases use image information calculated from key frames such as color, texture, shape to index videos, and only few of them are capable to store and retrieve motion information. In this paper we present a method for automatic motion based video indexing and retrieval. A prototype system has been developed, which automatically splits a video into shorter unit called shots, extract representative frames from each shot and estimates motion information in the neighborhood of the r-frame with the phase correlation method. A query can be an extracted motion information of a short sample image sequence, or a quantitatively given motion intensity in five region of the frame.

关键词： Motion measurement Indexing image databases Data mining Shape Indexes Information retrieval image retrieval Prototypes Motion estimation

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Configurable multi-layer CNN-UM emulator on FPGA using distributed arithmetic

Configurable multi-layer CNN-UM emulator on FPGA using distr...

引用

9th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2002

作者： Nagy, Zoltán Szolgay, Péter Department of Image Processing and Neurocomputing University of Veszprém Egyetem u. 10 H-8200 Veszprém Hungary

ISBN: (纸本)0780375963

A new emulated digital multi-layer CNN-UM chip architecture called Falcon has been developed. Simulation runtimes can be hundred times shorter using the Falcon processor array compared to the software simulation. This huge computing power makes real time image processing possible. In this paper the main steps of the FPGA implementation and optimization are introduced. The Distributed Arithmetic technique is used to optimize the architecture on FPGAs. Using this technique, smaller and faster arithmetic units can be designed than the conventional approach where multiplier cores and adder trees are used to compute the state equation of the CNN array. © 2002 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Configurable multi-layer CNN-UM emulator on FPGA using distributed arithmetic

Configurable multi-layer CNN-UM emulator on FPGA using distr...

引用

IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Z. Nagy P. Szolgay Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary

A new emulated digital multi-layer CNN-UM (cellular neural network universal machine) chip architecture called Falcon has been developed. Simulation runtimes can be a hundred times shorter using the Falcon processor array compared to the software simulation. This huge computing power makes real time image processing possible. In this paper, the main steps of the FPGA implementation and optimization are introduced. A distributed arithmetic technique is used to optimize the architecture on FPGAs. Using this technique, smaller and faster arithmetic units can be designed than the conventional approach where multiplier cores and adder trees are used to compute the state equation of the CNN array.

关键词： Field programmable gate arrays Arithmetic Cellular neural networks Equations Finite impulse response filter Computer architecture image processing Computational modeling Runtime Analog computers

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Colour space transformation and exact colour reproduction with CNN technology

Colour space transformation and exact colour reproduction wi...

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： P. Kozma B. Kranicz P. Szolgay Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary

Nowadays many problems requiring huge computing power have risen. Although the performance of digital processors doubles every year, there are certain tasks where the computation cannot be carried out within a reasonable time interval. Such hard problems are the analysis of big dynamical systems or real-time exact colour reproduction. The exact colour visualization of motion pictures is necessary in industrial, medical and scientific research areas. Thus, for example, exact colour reproduction is required for remote medical diagnosis or remote operation. The doctor has to see the same image that appears in reality. Device dependent colour appearance may cause faulty decisions. Nowadays these problems cannot be solved perfectly because many steps of the transformation are not completely known and the huge number of computations cannot be done in real-time even by the fastest PC. In this article we describe some methods to produce exact colours in a remote medical diagnostic system.

关键词： Space technology Cellular neural networks image processing Medical diagnosis Computer architecture Magnetic resonance imaging Real time systems Application software Analog computers Hardware

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Colour space transformation, colour correction and exact colour reproduction with CNN technology

Colour space transformation, colour correction and exact col...

引用

IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： N. Kozma B. Kranicz P. Szolgay Department of Image Processing and Neurocomputing University of Veszprém Veszprém Hungary

Nowadays many problems requiring huge computing power have arisen. Although the performance of digital processors doubles every year, there are certain tasks where the computation cannot be carried out within a reasonable time interval. Such hard problems are the analysis of big dynamical systems or real-time exact colour reproduction. The exact colour visualization of motion pictures is necessary in industrial, medical and scientific research areas. Thus, for example, exact colour reproduction is required for remote medical diagnosis or remote operation. The doctor has to see the same image that appears in reality. Device dependent colour appearance may cause faulty decisions. Nowadays these problems cannot be solved perfectly because many steps of the transformation are not completely known and the huge number of computations cannot be done in real-time even by the fastest PC. In this article we describe some methods to produce exact colours in a remote medical diagnostic system.

关键词： Color Space technology Cellular neural networks Medical diagnosis Magnetic resonance imaging image processing Real time systems Motion pictures Biomedical imaging Medical diagnostic imaging

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Creating animations combining stochastic paintbrush transformation and motion detection

Creating animations combining stochastic paintbrush transfor...

引用

International Conference on Pattern Recognition

作者： L. Kovacs T. Sziranyi Department of Image Processing and Neurocomputing University of Veszprém Hungary Analogical Computing Laboratory Computer & Automation Inst Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

In this paper we propose a method for creating animation and animation-like video sequences from any ordinary video recorded by any means available. The method is based on paintbrush transformation, developed and patented by our department, and on different motion detection algorithms. One of the goals of the method is to obtain animations, cartoon-like outputs from a usual camera-recorded image sequence. The method inherits properties of the paintbrush transformation method like well-defined contours, acceptable distortion, and a painting-like view with no fine details below a limit. The resulting output is a series of video frames stored as brush-strokes and motion data between the frames, compressed for size reduction. This output can be converted to any available video format by decompression, frame-reconstruction and recompression.

关键词： Animation Stochastic processes Motion detection Painting Video compression image coding image sequences image processing Laboratories Automation

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Creating animations combining stochastic Paintbrush Transformation and motion detection

Creating animations combining stochastic Paintbrush Transfor...

引用

作者： Kovács, Levente Szirányi, Tamás University of Veszprém Department of Image Processing and Neurocomputing Egyetem u. 10 H-8200 Veszprém Hungary Analogical Computing Laboratory Comp. and Automation Inst. Hungarian Academy of Sci. Kende u. 13-17 H-1111 Budapest Hungary

In this paper we propose a method for creating animation and animation-like video sequences from about any ordinary video recorded by any means available. The method is based on the Paintbrush Transformation earlier invented, developed and patented by our department [7], and on different motion detection algorithms [3,4,5]. One of the goals of the method is to obtain animations, cartoon-like outputs from a usual camera-recorded image sequence. The method inherits the properties of the paintbrush transformation method like well-defined contours, acceptable distortion, a painting-like view with no fine details below a limit. The resulting output is a series of video frames stored as brush-strokes and motion data between the frames, compressed for size reduction. This output can be converted to any available video format by decompression, frame-reconstruction and recompression. © 2002 IEEE.

关键词： Animation

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Supervised training based hand gesture recognition system

Supervised training based hand gesture recognition system

引用

作者： Licsár, Attila Szirányi, Tamás University of Veszprém Department of Image Processing and Neurocomputing Egyetem u. 10 H-8200 Veszprém Hungary Analogical and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary

We have developed a hand gesture recognition system, based on the shape analysis of static gestures, for Human Computer Interaction purposes. Our appearance-based recognition uses modified Fourier descriptors for the classification, of hand shapes. As always found in literature, such recognition systems consist of two phases: training and recognition. In our new practical approach, following the chosen appearance-based model, training and recognition is done in an interactive supervised way: the adaptation for untrained gestures is also solved by hand signals. Our experimental results with three different users are reported. In this paper, besides describing the recognition itself, we demonstrate our interactive training method in a practical application. © 2002 IEEE.

关键词： Gesture recognition

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