Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Afolabi D, Man KL, Liang HL, Lim GL, Shen Z, Lei C, Krilavičius T, Yang Y, Cheng L, Hahanov V, Yemelyanov I (2012) A WSN approach to unmanned aerial surveillance of traffic anomalies: some challenges and potential solutions. In: 10th East-West Design and Test, Symposium 2012 (EWDTS’12)
Shen Z, Man KL, Liang H-N, Zhang N, Afolabi D, Lim EG (2013) Porting LooCI component into Zigduino. In: Proceedings of elsevier procedia computer science series of the first international conference on information technology and quantitative management (ITQM 2013), 16–18 May 2013
Afolabi DO, Shen Z, Man KL, Liang H-N, Zhang N, Lim EG (2013) Modelling and Analysis of LooCI models in Zigduino. In: Lecture notes in engineering and computer science: proceedings of the international multiconference of engineers and computer scientists 2013, Hong Kong, pp 713–715, 13–15 March 2013
Rouf M, Mantiuk R, Heidrich W, Trentacoste M, Lau C (2011) Glare encoding of high dynamic range images. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 289–296
Wang X, Yi T, Tang Q, Feng L, Ni G, Zhou L (2010) Simulation and analysis of vibration blurred images. In: 6th international conference on wireless communications networking and mobile computing (WiCOM), pp 1–4, 23–25
Bhagavathula K, Titus AH, Mullin CS (2007) An extremely low-power CMOS glare sensor. IEEE Sens J 7(8):1145–1151
Hara T, Saito H, Kanade T (2009) Removal of glare caused by water droplets. In: Visual media production ( CVMP ’09), pp 144–151
Acknowledgments
This work was partially supported by Xi’an Jiaotong-Liverpool University (Suzhou, China) Research Development Fund under Grants RDF10-01-27, RDF10-02-03, and RDF11-02-06; Xi’an Jiaotong-Liverpool University Summer Undergraduate Research Fellowship under Grant 201328; and Transcend Epoch International Co. Ltd., Hong Kong.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Afolabi, D. et al. (2014). Vibration and Reflection Reduction in Images Captured from Moving Objects Connected Through a Wireless Sensor Network. In: Yang, GC., Ao, SI., Huang, X., Castillo, O. (eds) Transactions on Engineering Technologies. Lecture Notes in Electrical Engineering, vol 275. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7684-5_6
Download citation
DOI: https://doi.org/10.1007/978-94-007-7684-5_6
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-7683-8
Online ISBN: 978-94-007-7684-5
eBook Packages: EngineeringEngineering (R0)