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International Conference on Precision Instrumentation and Measurement 2010

作者： Lu, Rong Sheng Shi, Yan Qiong Li, Qi Yu, Qing Ping Hefei Univ Technol Sch Instr Sci & Optoelect Eng Hefei 230009 Peoples R China

ISBN: (纸本)9780878492299

Recent years, automated optical inspection (AOI) is developed very fast along with the rapid development of the emerging industries of semiconductor, LCD, PCB, optical communication and precision assembly, and also widely used in the industries of robot, automobile, steel, textile, printing, medicine, etc. In this paper, we will take a review of the AOI techniques, which are used for defect inspection on a large surface, such as inspecting the quality of TFT-LCD glass substrate and filter. The AOI system architecture having high inspection speed is illustrated. Some key techniques of light illumination, distributed image processing and convey mechanism, are explained.

关键词： automated optical inspection defect inspection lighting conveyor distributed image processing

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Tracking and Activity Recognition Through Consensus in distributed Camera Networks

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IEEE TRANSACTIONS ON image processing 2010年第10期19卷 2564-2579页

作者： Song, Bi Kamal, Ahmed T. Soto, Cristian Ding, Chong Farrell, Jay A. Roy-Chowdhury, Amit K. Univ Calif Riverside Riverside CA 92521 USA

Camera networks are being deployed for various applications like security and surveillance, disaster response and environmental modeling. However, there is little automated processing of the data. Moreover, most methods for multicamera analysis are centralized schemes that require the data to be present at a central server. In many applications, this is prohibitively expensive, both technically and economically. In this paper, we investigate distributed scene analysis algorithms by leveraging upon concepts of consensus that have been studied in the context of multiagent systems, but have had little applications in video analysis. Each camera estimates certain parameters based upon its own sensed data which is then shared locally with the neighboring cameras in an iterative fashion, and a final estimate is arrived at in the network using consensus algorithms. We specifically focus on two basic problems-tracking and activity recognition. For multitarget tracking in a distributed camera network, we show how the Kalman-Consensus algorithm can be adapted to take into account the directional nature of video sensors and the network topology. For the activity recognition problem, we derive a probabilistic consensus scheme that combines the similarity scores of neighboring cameras to come up with a probability for each action at the network level. Thorough experimental results are shown on real data along with a quantitative analysis.

关键词： Activity recognition camera networks consensus distributed image processing tracking

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Poster Abstract: A Wireless Pedestrian Tracking Network

Poster Abstract: A Wireless Pedestrian Tracking Network

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7th ACM Conference on Embedded Networked Sensor Systems (SENSYS)

作者： Jiang, Lun Kamthe, Ankur Cerpa, Alberto E. Univ Calif Merced Merced CA 95343 USA

ISBN: (纸本)9781605587486

The ease of deploying wireless camera sensor nodes has grown with the reduction of manufacturing costs of low power, high resolution cameras. Although current wireless sensor network platforms have limited on-board resources for solving highly complex computer vision problems, we show that by splitting the processing costs between the sensor node and a powerful backend, we can achieve better classification results. Using such a distributed processing approach, we balance the computational and communication costs for achieving better detection performance while improving the system lifetime.

关键词： Wireless Camera Sensor Networks distributed image processing

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A wireless pedestrian tracking network 09

A wireless pedestrian tracking network

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Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems

作者： Lun Jiang Ankur Kamthe Alberto E. Cerpa University of California - Merced

ISBN: (纸本)9781605585192

关键词： distributed image processing wireless camera sensor networks

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Improved agent-oriented middleware for distributed smart cameras

Improved agent-oriented middleware for distributed smart cam...

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1st ACM/IEEE International Conference on distributed Smart Cameras (ICDSC-07)

作者： Quaritsch, Markus Rinner, Bernhard Strobl, Bernhard Graz Univ Technol Inst Tech Informat A-8010 Graz Austria Klagenfurt Univ Inst Networked & Embbeded Syst A-9020 Klagenfurt Austria Austrian Res Ctr GmbH Smart Syst Div A-1020 Vienna Austria

ISBN: (纸本)9781424413539

In the recent past, much effort has been put into the development of distributed vision systems with smart cameras as key components. Smart cameras combine video sensing, processing and communication within a single embedded device and provide sufficient on-board infrastructure to carry out high-level video analysis tasks. Networks of smart cameras help to overcome some hard problems inherent to singlecamera systems by providing multiple views of a scene. This paper reports on an improved, agent-oriented middleware for embedded smart cameras. Each image processing task is represented by an agent resident on a smart camera within the network. Agents are able to move from one camera to another as needed during run-time. An agent is comprised of the high-level application logic and the image processing algorithm which is executed on the processing unit. The presented middleware is also designed for distributed image processing where two or more cameras can cooperate for a single task. In the paper we discuss the requirements for such an agent-oriented middleware capable of supporting distributed image processing. Further, we describe the architecture of our middleware implementation. The evaluation of our current middleware implementation shows significant performance improvements compared to our previous Javabased implementation.

关键词： smart camera embedded system middleware distributed image processing

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A novel and uniform image partitioning on spiral architecture

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INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING 2006年第1-2期2卷 57-63页

作者： Wu, Qiang He, Xiangjian Hintz, Tom Ye, Yuhuang Univ Technol Sydney Dept Comp Syst POB 123Broadway Sydney NSW 2007 Australia Fuzhou Univ Dept Informat & Commun Engn Fuzhou 350002 Fujian Peoples R China

Uniform image partitioning based on spiral architecture plays an important role in parallel image processing in many aspects such as uniform data partitioning, load balancing, zero data exchange between the processing nodes et al. However, when the number of partitions is not the power of seven like 7, 49, every sub-image except one is split into a few fragments which are mixed together. We could not tell which fragments belong to which subimage. It is an unacceptable flaw to parallel image processing. This paper proposes a method to resolve the problem mentioned above. From the experimental results, it is shown that the proposed method correctly identifies the fragments belonging to the same subimage and successfully collects them together to be a complete subimage. Then, these subimages can be distributed into the different processing nodes for further processing.

关键词： distributed image processing hexagonal architecture image partitioning spiral architecture

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Achieving fast fractal image compression using spiral architecture

Achieving fast fractal image compression using spiral archit...

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International Conference on Parallel and distributed processing Techniques and Applications

作者： Liu, D He, XJ Dalian Maritime Univ Inst Naut Sci & Technol Dalian 116026 Liaoning Peoples R China

ISBN: (纸本)1932415610

Spiral Architecture is a relatively new and powerful approach to general-purpose machine vision system. n this novel architecture, Spiral Addition and Multiplication achieve image processing. As we all nown, fractal image compression methods have maximal image compression ratio, at the cost Of slow coding speed. This paper presents an algorithm to achieve high image compression ratio without slow coding speed on Spiral Architecture, which also improves the Spiral Architecture s usage in image processing.

关键词： image compression spiral architecture fractals distributed image processing

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Variable resolution foveation on the Spiral Architecture

Variable resolution foveation on the Spiral Architecture

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International Conference on Computer Vision

作者： Hintz, T Wang, HQ Sheridan, P Univ Technol Sydney Fac Informat Technol Dept Comp Syst Sydney NSW Australia

ISBN: (纸本)1932415653

Spiral Architecture continues to demonstrate its potential as the basis for a general-purpose machine vision system. This paper explores another application of spiral architecture in the area of image compression. Earlier research into compression using the Spiral Architecture focused on the properties of the pixel address labelling scheme. This gives rise to the property of interest which is the physical proximity of the hexagonal pixels with neighbouring addresses. It was shown that rectangular (that is, raster based) systems have vertical physically adjacent pixels but the address distance is the length of a scan line. The Spiral Architecture, unlike the rectangular system, has the property that neighbouring pixels in address space have similar intensities thus giving opportunities for better compression. The scaling property of the Spiral architecture is again leveraged in a compression mechanism where transmission of various small portions of an extremely large image (such as a map) need to be foveated (navigated and viewed at scales and resolutions) as smoothly and seamlessly as possible.

关键词： image compression Spiral Architecture image analysis distributed image processing foveation

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Further approaches to image compression on spiral architecture

Further approaches to image compression on spiral architectu...

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International Conference on Imaging Science, Systems and Technology (CISST 2004)

作者： Hintz, T Wang, HQ He, XJ Univ Technol Sydney Fac Informat Technol Dept Comp Syst Sydney NSW 2007 Australia

ISBN: (纸本)1932415351

Spiral Architecture is a new and powerful approach to a general-purpose machine vision system. Earlier research compression on the Spiral Architecture focused on the properties of the pixel address labeling scheme. This gives rise to the property of interest which is the physical proximity of the hexagonal pixels with neighboring addresses. It was shown that rectangular systems have vertical physically adjacent pixels but the address distance is the length of a scan line. It was demonstrated that in the Spiral Architecture, unlike the rectangular system, has the property that neighboring pixels have similar intensities thus giving opportunities for better compression. The latest analysis shows the opportunities when the scaling property of the Spiral architecture is leveraged.

关键词： image compression spiral architecture image analysis distributed image processing

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image compression on spiral architecture

Image compression on spiral architecture

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International Conference on Imaging Science, Systems and Technology (CISST 03)

作者： Hintz, T Wu, Q Univ Technol Sydney Fac Informat Technol Dept Comp Syst Sydney NSW 2007 Australia

ISBN: (纸本)1892512483

Spiral Architecture is a new and powerful approach to a general-putpose machine vision system. Earlier research on the Spiral Architecture focused on the properties of undistorted translation, rotation and scaling. The research reported here uses the properties of the pixel address labelling scheme. The property of interest is the physical proximity of the hexagonal pixels with neighbouring addresses. Rectangular systems may, for instance, have vertical physically adjacent pixels but the address distance is the length of a scan line. It is demonstrated that in the Spiral Architecture, unlike the rectangular system, many images have the property that neighbouring pixels have similar intensities thus giving opportunities for better compression.

关键词： image compression spiral architecture image analysis distributed image processing

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