Biologically inspired components in embedded vision systems

Li-Minn Ang; K P Seng; Christopher  Wing Hong Ngau

doi:10.4018/978-1-5225-5204-8.ch018

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Biologically inspired components in embedded vision systems

Book chapter

Peer reviewed

Biologically inspired components in embedded vision systems

Li-Minn Ang, K P Seng and Christopher Wing Hong Ngau

Computer Vision: Concepts, Methodologies, Tools, and Applications, pp.458-493

IGI Global

2018

DOI: https://doi.org/10.4018/978-1-5225-5204-8.ch018

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Abstract

Behavioral research

Bioinformatics

Computational complexity

Field programmable gate arrays (FPGA)

Algorithm complexity

Biologically inspired

Computational capacity

Hardware implementations

Human vision systems

Memory requirements

Potential techn

Biological vision components like visual attention (VA) algorithms aim to mimic the mechanism of the human vision system. Often VA algorithms are complex and require high computational and memory requirements to be realized. In biologically-inspired vision and embedded systems, the computational capacity and memory resources are of a primary concern. This paper presents a discussion for implementing VA algorithms in embedded vision systems in a resource constrained environment. The authors survey various types of VA algorithms and identify potential techniques which can be implemented in embedded vision systems. Then, they propose a low complexity and low memory VA model based on a well-established mainstream VA model. The proposed model addresses critical factors in terms of algorithm complexity, memory requirements, computational speed, and salience prediction performance to ensure the reliability of the VA in a resource constrained environment. Finally a custom softcore microprocessor-based hardware implementation on a Field-Programmable Gate Array (FPGA) is used to verify the implementation feasibility of the presented model.

Details

Title: Biologically inspired components in embedded vision systems
Authors: Li-Minn Ang (Author) - 61USC_INST___CSU
K P Seng (Author) - 61USC_INST___CSU
Christopher Wing Hong Ngau (Author) - Intel
Contributors: Information Resources Management Association (USA) (Editor)
Publication details: Computer Vision: Concepts, Methodologies, Tools, and Applications, pp.458-493
Publisher: IGI Global
Date published: 2018
DOI: 10.4018/978-1-5225-5204-8.ch018; 10.4018/978-1-5225-5204-8
ISBN: 9781522552055
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513805502621
Output Type: Book chapter

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