Stereo vision-based object matching, detection, and tracking: A review

Mohamed Saifuddin, Lee Seng Yeong, Kah Phooi Seng, Li-Minn Ang

Research output: Book chapter/Published conference paperChapter (peer-reviewed)

Abstract

Computer vision has become very important in recent years. It is no longer restricted to a single camera that is only capable of capturing a single image at any given time. In its place, stereo vision systems have been introduced that not only make use of dual cameras to capture multiple images at once, but they also simulate the exact same nature of the human eye vision. Stereo vision has turned out to be an important research component in the subdivision of computer vision and image processing that deals with the extraction of information from images for the purpose of video surveillance systems, mimicking the human vision for the visually impaired, for robotics, to control unmanned vehicles, for security purposes, virtual reality and 3 Dimensional (3D) televisions, etc. In this chapter, a comprehensive review of all recent algorithms such as stereo matching, object detection, tracking techniques for stereo vision are presented.
Original languageEnglish
Title of host publicationDecision management
Subtitle of host publicationConcepts, methodologies, tools, and applications: concepts, methodologies, tools, and applications
EditorsInformation Resources Management Association
PublisherIGI Global
Chapter21
Pages440-469
Number of pages30
Edition2nd
ISBN (Electronic)9781522518389
ISBN (Print)9781522518372, 1522518371
DOIs
Publication statusPublished - 2017

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    Saifuddin, M., Yeong, L. S., Seng, K. P., & Ang, L-M. (2017). Stereo vision-based object matching, detection, and tracking: A review. In I. R. M. Association (Ed.), Decision management: Concepts, methodologies, tools, and applications: concepts, methodologies, tools, and applications (2nd ed., pp. 440-469). IGI Global. https://doi.org/10.4018/978-1-5225-1837-2.ch021