Video stabilization taken with a snake robot

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5 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaSymposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013
DOI
EstadoPublicada - 2013
Evento2013 18th Symposium of Image, Signal Processing, and Artificial Vision, STSIVA 2013 - Bogota, Colombia
Duración: 11 sep. 201313 sep. 2013

Serie de la publicación

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

Conferencia

Conferencia2013 18th Symposium of Image, Signal Processing, and Artificial Vision, STSIVA 2013
País/TerritorioColombia
CiudadBogota
Período11/09/1313/09/13

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