Implementation of biologically inspired components in embedded vision systems

Christopher  Wing Hong  Ngau; Li-Minn Ang; Kah Phooi Seng

doi:10.4018/978-1-4666-2539-6.ch013

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Implementation of biologically inspired components in embedded vision systems

Book chapter

Peer reviewed

Implementation of biologically inspired components in embedded vision systems

Christopher Wing Hong Ngau, Li-Minn Ang and Kah Phooi Seng

Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts, pp.307-345

IGI Global

2013

DOI: https://doi.org/10.4018/978-1-4666-2539-6.ch013

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Abstract

Studies in the area of computational vision have shown the capability of visual attention (VA) processing in aiding various visual tasks by providing a means for simplifying complex data handling and supporting action decisions using readily available low-level features. Due to the inclusion of computational biological vision components to mimic the mechanism of the human visual system, VA processing is computationally complex with heavy memory requirements and is often found implemented in workstations with unapplied resource constraints. In embedded systems, the computational capacity and memory resources are of a primary concern. To allow VA processing in such systems, the chapter presents a low complexity, low memory VA model based on an established mainstream VA model that addresses critical factors in terms of algorithm complexity, memory requirements, computational speed, and salience prediction performance to ensure the reliability of the VA processing in an environment with limited resources. Lastly, a custom softcore microprocessor-based hardware implementation on a Field-Programmable Gate Array (FPGA) is used to verify the implementation feasibility of the presented low complexity, low memory VA model.

Details

Title: Implementation of biologically inspired components in embedded vision systems
Authors: Christopher Wing Hong Ngau (Author) - University of Nottingham Malaysia Campus
Li-Minn Ang (Author) - Edith Cowan University
Kah Phooi Seng (Author) - Sunway University
Contributors: Marc Pomplun (Editor) - University of Massachusetts Boston
Junichi Suzuki (Editor) - University of Massachusetts Boston
Publication details: Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts, pp.307-345
Publisher: IGI Global
Date published: 2013
DOI: 10.4018/978-1-4666-2539-6.ch013; 10.4018/978-1-4666-2539-6
ISBN: 9781466625402
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513795802621
Output Type: Book chapter

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