Moving object detection and localization using stereo vision system

1Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The aim of this study was to design an moving object detection and localization algorithm able to detect and localize especially humans, vehicles and planes. We focused on classical methods for cameras calibration and triangulation techniques to calculate the position of the detected objects in a stereo vision rig coordinates frame. Verification of a proper operation of the proposed algorithm was made by conducting series of experiments. Our results indicates that the algorithm detects objects accurately and the troublesome un-stationary background regions can be excluded from detection using the presented localization method.

Cite

CITATION STYLE

APA

Żak, B., & Hożyń, S. (2015). Moving object detection and localization using stereo vision system. Advances in Intelligent Systems and Computing, 317. https://doi.org/10.1007/978-3-319-10990-9_39

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free