Model-based obstacle detection from image sequences

Sanghoon Sull, Banavar Sridhar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper proposes a method for detecting obstacles on a runway from monocular image sequences. The surface of the runway is modeled as a plane and the model flow field corresponding to the runway is described by 8 coefficients. The set of 8 coefficients describing the initial model flow field is given by the data from Inertial Navigation System (INS). The uncertainties of this initial model flow field are estimated and used to obtain the accurate model flow field. The residual flow field after warping images by the accurate model flow field is computed by solving overdetermined gradient-based optical flow equations using a singular value decomposition (SVD). This SVD gives us a new insight of the uncertainties inherent in the optical flow computation. Those pixels with large residual flow vectors are considered as obstacles. Experimental results for two real image sequences are presented.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Editors Anon
Place of PublicationLos Alamitos, CA, United States
PublisherIEEE
Pages647-650
Number of pages4
Volume2
Publication statusPublished - 1996 Jan 1
Externally publishedYes
EventProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) - Washington, DC, USA
Duration: 1995 Oct 231995 Oct 26

Other

OtherProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3)
CityWashington, DC, USA
Period95/10/2395/10/26

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Model-based obstacle detection from image sequences'. Together they form a unique fingerprint.

  • Cite this

    Sull, S., & Sridhar, B. (1996). Model-based obstacle detection from image sequences. In Anon (Ed.), IEEE International Conference on Image Processing (Vol. 2, pp. 647-650). IEEE.