Vibration and reflection reduction in images captured from moving objects connected through a wireless sensor network

David Afolabi*, Nan Zhang, Hai Ning Liang, Ka Lok Man, Dawei Liu, Eng Gee Lim, T. O. Ting, Yue Yang, Lixin Cheng

*Corresponding author for this work

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


This research explores the use of a computational approach to stabilize image sequences captured by vision sensors mounted on unmanned aerial vehicles (UAV) for road traffic surveillance. The images captured are processed in real-time, and the information necessary to create a feedback to stabilize the flight and enhance the image is computed. The proposed approach is tested on Zigduino, a prototype vision sensor developed for wireless sensor networks used in quadcopter UAV. The results show that our approach can be applied to scenes that have moving objects and dynamic luminance. Although our focus is on UAV for road traffic surveillance, the results of this research have applications to a variety of moving objects which have mounted cameras to capture images and transmit these wirelessly.

Original languageEnglish
Title of host publicationTransactions on Engineering Technologies - International MultiConference of Engineers and Computer Scientists 2013
PublisherSpringer Verlag
Number of pages11
ISBN (Print)9789400776838
Publication statusPublished - 2014
EventInternational MultiConference of Engineers and Computer Scientists 2013, IMECS 2013 - Kowloon, Hong Kong
Duration: 13 Mar 201315 Mar 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume275 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


ConferenceInternational MultiConference of Engineers and Computer Scientists 2013, IMECS 2013
Country/TerritoryHong Kong


  • Glare reduction
  • Hough transform
  • LooCI
  • Traffic surveillance
  • Vibration reduction
  • Wireless vision sensor network
  • Zigduino

Cite this