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

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

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

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
PublisherIGI Global
Pages440-469
Number of pages30
Volume1-4
ISBN (Electronic)9781522518389
ISBN (Print)1522518371, 9781522518372
DOIs
Publication statusPublished - 30 Jan 2017
Externally publishedYes

Cite this