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检索条件"任意字段=2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017"

共 891 条记录，以下是261-270 订阅

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Camera-based system for tracking and position estimation of humans

Camera-based system for tracking and position estimation of ...

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conference on design and architectures for signal and image processing

作者： Robert Hartmann Fadi Al Machot Philipp Mahr Christophe Bobda Department of Computer Science University of Potsdam Potsdam Germany

The human population is getting older and older, as stated by current studies. Because elderly people are at a higher risk of in house accidents there is an increasing need for ambient assisted living systems. These systems should detect accidents or dangerous situations in order to improve the quality of life for these people. The goal of this work is to build a robust and intelligent system which estimates the position of humans using only one camera. The position is used to detect falls and to allow an immediate call for help. The solution is based on a foreground-background-segmentation using Gaussian Mixture Models to first detect people and than analyze their main and ideal orientation using moments. This allows to decide whether a person is staying or lying on the floor. The system has a low latency and a detection rate of 88% in our case study.

关键词： Cameras image segmentation Pixel image color analysis Optical imaging Computational modeling Adaptation model

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A unified hardware/software co-synthesis solution for signal processing systems

A unified hardware/software co-synthesis solution for signal...

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conference on design and architectures for signal and image processing

作者： Endri Bezati Hervé Yviquel Michaél Raulet Marco Mattavelli Ecole Polytechnique Fédérale de Lausanne Lausanne Switzerland IRISA University of Rennes I Lannion France IETR INSA Rennes Rennes France

This paper presents a methodology to specify from a high-level data-flow description an application for both hardware and software synthesis. Firstly, an introduction to RVC-Cal data-flow programming and Orcc framework is presented. Furthermore, an analysis of a close to gate intermediate representation (XLIM) is bestowed. As a proof of concept a JPEG codec was written purely in RVC-Cal to test the co-synthesis tools and then an analysis of the generated hardware and software results are given. Our experience shows that using RVC-Cal can unify the process of creating the same application for software and hardware without modifying a single source code for each solution.

关键词： Transform coding Hardware Codecs Software Decoding Field programmable gate arrays Hardware design languages

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Leveraging Deep Learning Representation for Search-based image Annotation 19

Leveraging Deep Learning Representation for Search-based Ima...

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19th CSI International Symposium on Artificial Intelligence and signal processing (AISP)

作者： Kashani, Mahya Mohammadi Amiri, S. Hamid Shahid Rajaee Teacher Training Univ Dept Comp Engn Tehran Iran

ISBN: (纸本)9781538625859

image annotation aims to assign some tags to an intage such that these tags provide a textual description for the content of image. Search-based methods extract relevant tags for an image based on the tags of nearest neighbor images in the training set. In these methods, similarity of two images is determined based on the distance between feature vectors of the images. Thus, it is essential to extract informative feature vectors from images. In this paper, we propose a framework that utilize deep learning to obtain visual representation of images. We apply different architectures of convolutional neural networks (CNN) to the input image and obtain a single feature vector that is a rich representation for visual content of the image. In this way, we eliminate the usage of multiple feature vectors used in the state-of-the-art annotation methods. We also integrate our feature extractors with a nearest neighbors approach to obtain relevant tags of an image. Our experiments on the standard datasets of image annotation (including Corel5k, ESP Game, IAPR) demonstrate that our approach reaches higher precision, recall and F1 than the state-of-the-art methods such as 2PKNN, TagProp, NMF-KNN and etc.

关键词： image Annotation Relevant Tags Deep Learning CNN Nearest Neighbors

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Runtime adaptive allocation of dynamically mixed tasks on a heterogeneous MPSoC platform

Runtime adaptive allocation of dynamically mixed tasks on a ...

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conference on design and architectures for signal and image processing

作者： Jia Huang Andreas Raabe Christian Buckl Alois Knoll Fortiss GmbH Munich Germany Technische Universität München Garching Germany

Multiprocessor System-on-Chip platforms are typically used for co-hosting multiple tasks, which may start and stop execution independently at time instants unknown at design time. In such systems, the runtime resource manager is responsible for allocating adequate and appropriate resources to each task. We identify a key issue in existing work that the resource management algorithms consider the problem only at task-level, i.e. the optimization is performed for each individual task upon activation. However, it can be shown that such strategies are suboptimal from the system point of view. In contrast, we propose in this paper a new task allocation flow that considers the system-level resource management. Comparing with traditional techniques, significant performance improvement (up to 29.5%) is observed during evaluation using a standard benchmark set. In addition, the proposed task allocator features runtime self-adaptability with respect to changes in hardware and/or applications.

关键词： Resource management Runtime Bandwidth Digital signal processing Timing Tiles Processor scheduling

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Quantitative measures in ISAR image formation based on Time-Frequency Representations 3

Quantitative measures in ISAR image formation based on Time-...

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3rd International conference on Advanced Technologies for signal and image processing (ATSIP)

作者： Cexus, Jean-Christophe Toumi, Abdelmalek Couderc, Orlan ENSTA Bretagne Lab STICC UMR CNRS 6285 2 Rue Francois Verny F-29806 Brest 9 France

ISBN: (纸本)9781538605516

This paper proposes to adapt the Empirical Mode Decomposition Time-Frequency Distribution (EMD-TFD) to non analytic complex-valued signals. This original method employs the Non uniformly Sampled Bivariate Empirical Mode Decomposition (NSBEMD) to design a filter in the ambiguity domain and clean the Time-Frequency Distribution (TFD) of the signal. This new approach is called NSBEMD-TFD. The suggested adaptation is used in the generation of Inverse Synthetic Aperture Radar (ISAR) image and compared to other Time-Frequency Representation (TFR) such as Spectrogram, Wigner-Ville Distribution (WVD) ... . Furthermore, two criteria to qualify TFD are adjusted to be perform on ISAR images generated by TFD. This method, called NSBEMD-TFD, and those criteria are tested on simulated data and also on data acquired from an anechoic chamber.

关键词： Inverse Synthetic Aperture Radar image formation Complex Empirical Mode Decomposition Time-Frequency Analysis

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Implementation of a Fast Fourier transform algorithm onto a manycore processor

Implementation of a Fast Fourier transform algorithm onto a ...

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conference on design and architectures for signal and image processing

作者： Julien Hascoet Jean-Francois Nezan Andrew Ensor Benoît Dupont de Dinechin Univcrsite Europeenne de Bretagne France Auckland University of Technology New Zealand Kalray INSA AUT Kalray

The Fourier transform is the main processing step applied to data collected from the Square Kilometre Array (SKA) receivers. The requirement is to compute a Fourier transform of 219 real byte samples in real-time, while minimizing the power consumption. We address this challenge by optimizing a FFT implementation for execution on the Kalray MPPA manycore processor. Although this processor delivers high floating-point performances, we use fixed-point number representations in order to reduce the memory consumption and the I/O bandwidth. The result is an execution time of 1,07ms per FFT, including data transfers. This enables to use only two first-generation MPPA chips per flow of data coming from the receivers, for a total power consumption of 17.4W.

关键词： signal processing algorithms Parallel processing Arrays Fast Fourier transforms Receivers VLIW

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Revisiting the design of Data Stream processing Systems on Multi-Core Processors 33

Revisiting the Design of Data Stream Processing Systems on M...

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IEEE 33rd International conference on Data Engineering (ICDE)

作者： Zhang, Shuhao He, Bingsheng Dahlmeier, Daniel Zhou, Amelie Chi Heinze, Thomas SAP Innovat Ctr Singapore Singapore Singapore Natl Univ Singapore Singapore Singapore INRIA Rennes France SAP SE Walldorf Walldorf Germany

ISBN: (纸本)9781509065431

Driven by the rapidly increasing demand for handling real-time data streams, many data stream processing (DSP) systems have been proposed. Regardless of the different architectures of those DSP systems, they are mostly aiming at scaling out using a cluster of commodity machines and built around a number of key design aspects: a) pipelined processing with message passing, b) on-demand data parallelism, and c) JVM based implementation. However, there lacks a study on those key design aspects on modern scale-up architectures, where more CPU cores are being put on the same die, and the on-chip cache hierarchies are getting larger, deeper, and complex. Multiple sockets bring non-uniform memory access (NUMA) effort. In this paper, we revisit the aforementioned design aspects on a modern scale-up server. Specifically, we use a series of applications as micro benchmark to conduct detailed profiling studies on Apache Storm and Flink. From the profiling results, we observe two major performance issues: a) the massively parallel execution model causes serious front-end stalls, which are a major performance bottleneck issue on a single CPU socket, b) the lack of NUMA-aware mechanism causes major drawback on the scalability of DSP systems on multi-socket architectures. Addressing these issues should allow DSP systems to exploit modern scale-up architectures, which also benefits scaling out environments. We present our initial efforts on resolving the above-mentioned performance issues, which have shown up to 3.2x and 3.1x improvement on the performance of Storm and Flink, respectively.

关键词： Digital signal processing Sockets Storms Message passing Parallel processing Pipelines Multicore processing

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SCATTERNET HYBRID DEEP LEARNING (SHDL) NETWORK FOR OBJECT CLASSIFICATION

SCATTERNET HYBRID DEEP LEARNING (SHDL) NETWORK FOR OBJECT CL...

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27th IEEE International Workshop on Machine Learning for signal processing (MLSP)

作者： Singh, Amarjot Kingsbury, Nick Univ Cambridge Dept Engn Signal Proc Grp Cambridge England

ISBN: (纸本)9781509063413

The paper proposes the ScatterNet Hybrid Deep Learning (SHDL) network that extracts invariant and discriminative image representations for object recognition. SHDL framework is constructed with a multi-layer ScatterNet front-end, an unsupervised learning middle, and a supervised learning back-end module. Each layer of the SHDL network is automatically designed as an explicit optimization problem leading to an optimal deep learning architecture with improved computational performance as compared to the more usual deep network architectures. SHDL network produces the state-of-the-art classification performance against unsupervised and semi-supervised learning (GANs) on two image datasets. Advantages of the SHDL network over supervised methods (NIN, VGG) are also demonstrated with experiments performed on training datasets of reduced size.

关键词： ScatterNet Deep architecture design Unsupervised learning Convolutional neural network

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The Simulation and Implementation of Radar signal processing based on Space Domain 9

The Simulation and Implementation of Radar Signal Processing...

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9th International conference on Measuring Technology and Mechatronics Automation (ICMTMA)

作者： Xiao, Xiao Wuhan Digital Engn Res Inst Wuhan Peoples R China

ISBN: (纸本)9781509048687

signal enhancement methods are divided into two categories: spatial domain method and frequency domain method. Spatial domain is also known as image space, which is composed of image pixels. In image space, deal with pixel value by taking length (distance) as the independent variable. This is called spatial domain processing. Frequency domain processing technology is based on Fourier transform which modifies signals. FPGA device is a kind of typical device which exchanges resources for performance. With the constant improvement of technological level, its scale is bigger and bigger. The inside large capacity RAM, high speed I/O, and special-purpose DSP processing unit have greatly increased the application ability of FPGA in the field of digital signal processing. Therefore, on the new type of FPGA, it is conditional to use the design method based on models. ROM Table is used to complete hardware design and to realize radar signal processing algorithm in spatial domain.

关键词： signal enhancement Spatial domain FPGA ROM Table

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FPGA-based detection of QRS complexes in ECG signal

FPGA-based detection of QRS complexes in ECG signal

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conference on design and architectures for signal and image processing

作者： Amina El Hassen Aymeric Histace Mehdi Terosiet Olivier Romain ENSEA University of Cergy-Pontoise Cergy France

This paper presents an FPGA-based algorithm for automatic detection of QRS complexes in ECG signals. The proposed algorithm is divided into 3 blocks: Filtering, Contrast Enhancement, and finally a Detection block based on time and amplitude thresholding of the enhanced data. The entire detection scheme was developed in accordance with embedding constraints. For validation, the method was tested on the MIT/BIH arrhythmia database containing 48 records of 30-minutes ECG. The FPGA-based algorithm correctly detects 95,35 percent of the QRS complexes, with a very limited ratio of false detection (only 8%). These results are in accordance with the most recent state-of-the-art off-line algorithms on the same database, and improves significantly FPGA-based ones that were tested on a limited number of ECG extracted from the MIT/BIH set of data.

关键词： Electrocardiography Databases Field programmable gate arrays Standards Heart Muscles Computer architecture

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