Video stabilization taken with a snake robot

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

We design a digital image stabilization algorithm, to be applied in videos captured with a camera installed in the initial module of a snake robot. Stages for digital image stabilization were: motion estimation and motion compensation. In the case of motion estimation, we selected and evaluated two techniques: Pyramidal Lucas-Kanade optical flow and integral projections, using SAD and SSD as methods for comparison between the signatures. The system was implemented in OpenCV and their outputs were a video achieved the final compensation of the input video, and statistical measures of mean and standard deviation of the motion estimation between frames. The final algorithm can be implemented in real time due to its low computational cost and can be used as a pre-procesing method to acquired visual information from snake robot.

Original languageEnglish
Title of host publicationSymposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013
DOIs
StatePublished - 2013
Event2013 18th Symposium of Image, Signal Processing, and Artificial Vision, STSIVA 2013 - Bogota, Colombia
Duration: 11 Sep 201313 Sep 2013

Publication series

NameSymposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013

Conference

Conference2013 18th Symposium of Image, Signal Processing, and Artificial Vision, STSIVA 2013
Country/TerritoryColombia
CityBogota
Period11/09/1313/09/13

Keywords

  • Digital Image Stabilization
  • Pyramidal Lucas-Kanade optical flow
  • Snake robot
  • integral projections

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