Many existing background subtraction approaches model background color only and detect foreground as outliers, and hence may confuse background changes or noises with true foreground. We present a novel algorithm that...
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ISBN:
(纸本)9781457713033
Many existing background subtraction approaches model background color only and detect foreground as outliers, and hence may confuse background changes or noises with true foreground. We present a novel algorithm that utilizes motion cues computed from an optical flow algorithm. The additional motion information allows aligning moving foreground objects over time so that models can be built for foreground as well. It also facilities background (and foreground) modeling since both color and motion cues can be utilized. In practice, our GPU implementation is able to process QVGA-sized video sequences at 39.3 FPS on a laptop. Quantitative evaluation on standard testbeds demonstrate the competitive performance of our approach.
The proceedings contain 45 papers. The topics discussed include: performanceevaluation of an automotive distributed architecture based on HPAV communication protocol using a transaction level modeling approach;design...
ISBN:
(纸本)9781457706196
The proceedings contain 45 papers. The topics discussed include: performanceevaluation of an automotive distributed architecture based on HPAV communication protocol using a transaction level modeling approach;design of a processor optimized for syntax parsing in video decoders;fast and accurate hybrid power estimation methodology for embedded systems;acceleration of image reconstruction in 3D ultrasound computer tomography: an evaluation of CPU, GPU and FPGA computing;DFG implementation on multi GPU cluster with computation-communication overlap;graphic rendering application profiling on a shared memory MPSoC architecture;pilot studies of wireless sensor networks: practical experiences;efficient FFT pruning algorithm for non-contiguous OFDM systems;designing processors using MAsS, a modular and lightweight instruction-level exploration tool;and optimization methodologies for complex FPGA-based signalprocessingsystems with CAL.
The proceedings contain 51 papers. The topics discussed include: methods for design and implementation of dynamic signalprocessingsystems;supercomputing: past, present, and a possible future;on STM concurrency contr...
ISBN:
(纸本)9781457708008
The proceedings contain 51 papers. The topics discussed include: methods for design and implementation of dynamic signalprocessingsystems;supercomputing: past, present, and a possible future;on STM concurrency control for multicore embedded real-time software;accelerating collective communication in message passing on manycore system-on-chip;on the impact of dynamic task scheduling in heterogeneous MPSoCs;skeleton-based automatic parallelization of imageprocessing algorithms for GPUs;power adaptive computing system design in energy harvesting environment;Smart Cache: a self adaptive cache architecture for energy efficiency;power proportional characteristics of an energy manager for web clusters;thermal optimization for micro-architectures through selective block replication;and design metrics and visualization techniques for analyzing the performance of MOEAs in DSE.
The proceedings contain 19 papers. The topics discussed include: a high performance computing framework for physics-based modeling and simulation of military ground vehicles;rolling partial prefix-sums to speedup eval...
ISBN:
(纸本)9780819486349
The proceedings contain 19 papers. The topics discussed include: a high performance computing framework for physics-based modeling and simulation of military ground vehicles;rolling partial prefix-sums to speedup evaluation of uniform and affine recurrence equations;accelerating sparse linear algebra using graphics processing units;high-level GPU computing with jacket for MATLAB and C/C++;roles and assessment methods for models of sensor data exploitation algorithms;multi-frame atmospheric compensation under moving camera conditions;power versus performance tradeoffs of GPU-accelerated backprojection-based synthetic aperture radar image formation;a hardware-in-the-loop simulation program for ground-based radar;an agile acquisition decision-support workbench for evaluating ISR effectiveness;modeling of hybrid organic/inorganic dual RF-photonic slot waveguide modulator;and improved representation of situational awareness within a dismounted small combat unit constructive simulation.
Low dimensional embedding of data samples lying on a manifold can be performed using locally linear modeling. By incorporating suitable locality constraints, sparse coding can be adapted to modeling local regions of a...
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ISBN:
(纸本)9781467303231
Low dimensional embedding of data samples lying on a manifold can be performed using locally linear modeling. By incorporating suitable locality constraints, sparse coding can be adapted to modeling local regions of a manifold. This has been coupled with the spatial pyramid matching algorithm to achieve state-of-the-art performance in object recognition. In this paper, we propose an algorithm to learn dictionaries for computing local sparse codes of descriptors extracted from image patches. The algorithm iterates between a local sparse coding step and an update step that searches for a better dictionary. evaluation of the local sparse code for a data sample is simplified by first estimating its neighbors using the proposed distance metric and then computing the minimum l(1) solution using only the neighbors. The proposed dictionary update ensures that the neighborhood of a training sample is not changed from one iteration to the next. simulation results demonstrate that the sparse codes computed using the proposed dictionary achieve improved classification accuracies when compared to using a K-means dictionary with standard image datasets.
This paper presents the theoretical and experimental performanceevaluation of a novel and innovative concept to add a multichannel ground moving target indication (GMTI) capability to a synthetic aperture radar (SAR)...
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This paper presents the theoretical and experimental performanceevaluation of a novel and innovative concept to add a multichannel ground moving target indication (GMTI) capability to a synthetic aperture radar (SAR) reflector antenna with a standard single feed. This approach exploits the capability to achieve a phase center displacement by combining signals obtained from different electromagnetic excitation modes of the feedhorn. While, in the past, this so-called multimode concept has been mainly analyzed in simulation and by various antenna laboratory measurements, several flight experiments have been recently conducted to verify and demonstrate its GMTI performance. The theoretical and experimental analysis provides qualitative and quantitative insights into the effectiveness of multimode SAR-GMTI applications, such as the SAR image-based along-track interferometry (ATI) or post-Doppler GMTI approaches based on space-time adaptive processing. In addition, it introduces practical lessons learned, along with an example of the detection and parameter estimation for a large vessel using ATI. This paper finishes with an examination of the expected performance improvement when the transmitted modes are alternated between subsequent pulses. This toggling results in a time-multiplexed three-channel GMTI system with significantly enhanced estimation performance.
Due to increasing complexity of communication infrastructures in the automotive domain, reliable models are necessary in order to assist designers in the development process of networked embedded systems. In this cont...
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Due to increasing complexity of communication infrastructures in the automotive domain, reliable models are necessary in order to assist designers in the development process of networked embedded systems. In this context, transaction level modeling, supported by languages as SystemC, is a promising solution to assess performances of networked architectures with a good compromise between accuracy and simulation speed. This article presents the application of a specific modeling approach for performanceevaluation of a networked embedded system inspired from the automotive domain. The considered approach is illustrated by the modeling of a video transmission system made of three electronic controller units and based on a specific power line communication protocol. The created model incorporates description of various communication layers and simulation of the model allows evaluation of time properties and memory cost inferred.
GPU Computing Gems Emerald Edition offers practical techniques in parallel computing using graphics processing units (GPUs) to enhance scientific research. The first volume in Morgan Kaufmann's Applications of GPU...
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ISBN:
(数字)9780123849892
ISBN:
(纸本)9780123849885
GPU Computing Gems Emerald Edition offers practical techniques in parallel computing using graphics processing units (GPUs) to enhance scientific research. The first volume in Morgan Kaufmann's Applications of GPU Computing Series, this book offers the latest insights and research in computer vision, electronic design automation, and emerging data-intensive applications. It also covers life sciences, medical imaging, ray tracing and rendering, scientific simulation, signal and audio processing, statistical modeling, video and imageprocessing. This book is intended to help those who are facing the challenge of programming systems to effectively use GPUs to achieve efficiency and performance goals. It offers developers a window into diverse application areas, and the opportunity to gain insights from others' algorithm work that they may apply to their own projects. Readers will learn from the leading researchers in parallel programming, who have gathered their solutions and experience in one volume under the guidance of expert area editors. Each chapter is written to be accessible to researchers from other domains, allowing knowledge to cross-pollinate across the GPU spectrum. Many examples leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution. The insights and ideas as well as practical hands-on skills in the book can be immediately put to use. Computer programmers, software engineers, hardware engineers, and computer science students will find this volume a helpful resource. For useful source codes discussed throughout the book, the editors invite readers to the following website:
This paper presents the theoretical and experimental performanceevaluation of a novel and innovative concept to add a multichannel ground moving target indication (GMTI) capability to a synthetic aperture radar (SAR)...
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This paper presents the theoretical and experimental performanceevaluation of a novel and innovative concept to add a multichannel ground moving target indication (GMTI) capability to a synthetic aperture radar (SAR) reflector antenna with a standard single feed. This approach exploits the capability to achieve a phase center displacement by combining signals obtained from different electromagnetic excitation modes of the feedhorn. While, in the past, this so-called multimode concept has been mainly analyzed in simulation and by various antenna laboratory measurements, several flight experiments have been recently conducted to verify and demonstrate its GMTI performance. The theoretical and experimental analysis provides qualitative and quantitative insights into the effectiveness of multimode SAR-GMTI applications, such as the SAR image-based along-track interferometry (ATI) or post-Doppler GMTI approaches based on space-time adaptive processing. In addition, it introduces practical lessons learned, along with an example of the detection and parameter estimation for a large vessel using ATI. This paper finishes with an examination of the expected performance improvement when the transmitted modes are alternated between subsequent pulses. This toggling results in a time-multiplexed three-channel GMTI system with significantly enhanced estimation performance.
Neuromorphic engineering tries to mimic biology in information processing. Address-Event Representation (AER) is a neuromorphic communication protocol for spiking neurons between different layers. AER bio-inspired ima...
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