FPGA Technology for Implementation in Visual Sensor Networks

Wai Chong Chia; Wing Hong Ngau; Li-Minn Ang; Kah Phooi Seng; Li Wern Chew; Lee Seng Yeong

doi:10.4018/978-1-61350-153-5.ch014

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FPGA Technology for Implementation in Visual Sensor Networks

Book chapter

Peer reviewed

FPGA Technology for Implementation in Visual Sensor Networks

Wai Chong Chia, Wing Hong Ngau, Li-Minn Ang, Kah Phooi Seng, Li Wern Chew and Lee Seng Yeong

Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications, pp.293-324

IGI Global

2012

DOI: https://doi.org/10.4018/978-1-61350-153-5.ch014

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Abstract

A typical configuration of Visual Sensor Network (VSN) usually consists of a set of vision nodes, network motes, and a base station. The vision node is used to capture image data and transmit them to the nearest network mote. Then, the network motes will relay the data within the network until it reaches the base station. Since the vision node is usually small in size and battery-powered, it restricts the resources that can be incorporated onto it. In this chapter, a Field Programmable Gate Array (FPGA) implementation of a low-complexity and strip-based Microprocessor without Interlocked Pipeline Stage (MIPS) architecture is presented. In this case, the image data captured by the vision node is processed in a strip-by-strip manner to reduce the local memory requirement. This allows an image with higher resolution to be captured and processed with the limited resources. In addition, parallel access to the neighbourhood image data is incorporated to improve the accessing speed. Finally, the performance of visual saliency in using the proposed architecture is evaluated.

Details

Title: FPGA Technology for Implementation in Visual Sensor Networks
Authors: Wai Chong Chia (Author) - University of Nottingham Malaysia Campus
Wing Hong Ngau (Author) - University of Nottingham Malaysia Campus
Li-Minn Ang (Author) - University of Nottingham Malaysia Campus
Kah Phooi Seng (Author) - University of Nottingham Malaysia Campus
Li Wern Chew (Author) - University of Nottingham Malaysia Campus
Lee Seng Yeong (Author) - University of Nottingham Malaysia Campus
Contributors: Li-Minn Ang (Editor) - University of Nottingham Malaysia Campus
Seng Kah Phooi (Editor) - University of Nottingham Malaysia Campus
Publication details: Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications, pp.293-324
Publisher: IGI Global
Date published: 2012
DOI: 10.4018/978-1-61350-153-5.ch014; 10.4018/978-1-61350-153-5
ISBN: 9781613501542
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513795002621
Output Type: Book chapter

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