2006 International Workshop on Computer Architecture for Machine Perception and Sensing最新文献_第2页

An Automatic 2D, 2.5D & 3D Score-Based Fusion Face Verification System 自动2D, 2.5D和3D基于分数的融合人脸验证系统

2006 International Workshop on Computer Architecture for Machine Perception and Sensing Pub Date : 2007-07-09 DOI: 10.1109/ASAP.2007.4429992

C. Conde, Á. Serrano, L. J. Rodríguez-Aragón, E. Cabello

引用次数: 10

A single-chip 10000 frames/s CMOS sensor with in-situ 2D programmable image processing 单片10000帧/秒CMOS传感器，具有原位二维可编程图像处理

2006 International Workshop on Computer Architecture for Machine Perception and Sensing Pub Date : 2007-07-09 DOI: 10.1109/CAMP.2007.4350367

J. Dubois, D. Ginhac, M. Paindavoine

{"title":"A single-chip 10000 frames/s CMOS sensor with in-situ 2D programmable image processing","authors":"J. Dubois, D. Ginhac, M. Paindavoine","doi":"10.1109/CAMP.2007.4350367","DOIUrl":"https://doi.org/10.1109/CAMP.2007.4350367","url":null,"abstract":"A high speed Analog VLSI Image acquisition and pre-processing system is described in this paper. A 64times64 pixel retina is used to extract the magnitude and direction of spatial gradients from images. So, the sensor implements some low-level image processing in a massively parallel strategy in each pixel of the sensor. Spatial gradients, various convolutions as Sobel Alter or Laplacian are described and implemented on the circuit. The retina implements in a massively parallel way, at pixel level, some various treatments based on a four-quadrants multipliers architecture. Each pixel includes a photodiode, an amplifier, two storage capacitors and an analog arithmetic unit. A maximal output frame rate of about 10000 frames per second with only image acquisition and 2000 to 5000 frames per second with image processing is achieved in a 0.35 mum standard CMOS process. The retina provides address-event coded output on three asynchronous buses, one output is dedicated to the gradient and both other to the pixel values. A prototype based on this principle, has been designed. Simulation results from Mentor Graphicstradesoftware and AustriaMicrosystem design kit are presented.","PeriodicalId":104356,"journal":{"name":"2006 International Workshop on Computer Architecture for Machine Perception and Sensing","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114330573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Development of High-resolution Digital Vision Chip Based on CFPE Architecture 基于CFPE架构的高分辨率数字视觉芯片的研制

2006 International Workshop on Computer Architecture for Machine Perception and Sensing Pub Date : 2007-07-09 DOI: 10.1109/CAMP.2007.4350344

K. Yamamoto, M. Kubozono, I. Ishii

引用次数: 2

A Traffic-Aware Energy Efficient Routing Protocol for Wireless Sensor Networks 一种流量感知的无线传感器网络节能路由协议

2006 International Workshop on Computer Architecture for Machine Perception and Sensing Pub Date : 2007-07-09 DOI: 10.1109/ASAP.2007.4429979

Jun Liu, X. Hong

引用次数: 30

A Fully-Pipelined Parallel Architecture for Kalman Tracking Filter 卡尔曼跟踪滤波器的全流水线并行结构

2006 International Workshop on Computer Architecture for Machine Perception and Sensing Pub Date : 2007-07-09 DOI: 10.1109/ASAP.2007.4429968

Z. Merhi, M. Ghantous, M. Elgamel, M. Bayoumi, A. El-Desouki

{"title":"A Fully-Pipelined Parallel Architecture for Kalman Tracking Filter","authors":"Z. Merhi, M. Ghantous, M. Elgamel, M. Bayoumi, A. El-Desouki","doi":"10.1109/ASAP.2007.4429968","DOIUrl":"https://doi.org/10.1109/ASAP.2007.4429968","url":null,"abstract":"The Kalman filter is a set of mathematical equations that provides an efficient computational (recursive) mean to estimate the state of a process, in a way that minimizes the mean of the squared error. This filter is very powerful in several aspects: it provides estimations of past, present, and future states, and it can do so when the precise nature of the modeled system is unknown, and even with the presence of measurement and process noise. Moreover, Kalman filter for linear estimate is the most complex and precise algorithm used for target tracking. However, using Kalman filter algorithms in software for multi-target tracking (MTT) radar system would result in a very long computational time which may not be suitable for today's warfare constraints, or real-time processing. Consequently, a hardware alternative has to be developed which may result in big area overhead which is not suitable for today's area constraints such as sensor nodes in a sensor network. In this paper, we break the arrays into their scalar forms, and develop fully-pipelined hardware architecture for the radar tracking Kalman filter, with time division multiplex blocks to decrease the silicon area.. The proposed architecture contains 6 multipliers, 2 dividers, 9 adders, 5 subtracters, one control unit, and some registers and multiplexers for pipeline and control. Simulation results show that the loss in accuracy between the exact track and the estimated is found to be only 4.9%.","PeriodicalId":104356,"journal":{"name":"2006 International Workshop on Computer Architecture for Machine Perception and Sensing","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121878231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Adaptive sensing and image processing with a general-purpose pixel-parallel sensor/processor array integrated circuit 一种通用像素并行传感器/处理器阵列集成电路的自适应传感和图像处理

2006 International Workshop on Computer Architecture for Machine Perception and Sensing Pub Date : 2007-07-09 DOI: 10.1109/CAMP.2007.4350340

P. Dudek

引用次数: 10

Multisensor Data Fusion Schemes for Wireless Sensor Networks 无线传感器网络中的多传感器数据融合方案

2006 International Workshop on Computer Architecture for Machine Perception and Sensing Pub Date : 2007-07-09 DOI: 10.1109/ASAP.2007.4429978

R. Aguilar-Ponce, Jason McNeely, Abu Baker, Ashok Kumar V, Magdy A. Bayoumi

引用次数: 14

Hardware /Software Codesign of Image Processing Applications Using Transaction Level Modeling 使用事务级建模的图像处理应用的软硬件协同设计

2006 International Workshop on Computer Architecture for Machine Perception and Sensing Pub Date : 1900-01-01 DOI: 10.1109/camp.2007.4350350

M. O. Cheema, O. Hammami, L. Lacassagne, A. Mérigot

引用次数: 1

Milepost sign detection 里程碑标志探测

2006 International Workshop on Computer Architecture for Machine Perception and Sensing Pub Date : 1900-01-01 DOI: 10.1109/camp.2007.4350361

R. Marmo, L. Lombardi

引用次数: 2

A Scalable Design for Signal Conditioning and Digitization in Implantable Multi-Channel Neural Sensors 植入式多通道神经传感器信号调理与数字化的可扩展设计

2006 International Workshop on Computer Architecture for Machine Perception and Sensing Pub Date : 1900-01-01 DOI: 10.1109/camp.2007.4350357

B. Gosselin, Pierre-Yves Robert, M. Sawan

引用次数: 1