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

doi:10.1007/978-94-007-7684-5_6

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 proceeding › Conference Proceeding › peer-review

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.

Original language	English
Title of host publication	Transactions on Engineering Technologies - International MultiConference of Engineers and Computer Scientists 2013
Publisher	Springer Verlag
Pages	71-81
Number of pages	11
ISBN (Print)	9789400776838
DOIs	https://doi.org/10.1007/978-94-007-7684-5_6
Publication status	Published - 2014
Event	International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013 - Kowloon, Hong Kong Duration: 13 Mar 2013 → 15 Mar 2013

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	275 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013
Country/Territory	Hong Kong
City	Kowloon
Period	13/03/13 → 15/03/13

Keywords

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

Access to Document

10.1007/978-94-007-7684-5_6

Cite this

Afolabi, D., Zhang, N., Liang, H. N., Man, K. L., Liu, D., Lim, E. G., Ting, T. O., Yang, Y., & Cheng, L. (2014). Vibration and reflection reduction in images captured from moving objects connected through a wireless sensor network. In Transactions on Engineering Technologies - International MultiConference of Engineers and Computer Scientists 2013 (pp. 71-81). (Lecture Notes in Electrical Engineering; Vol. 275 LNEE). Springer Verlag. https://doi.org/10.1007/978-94-007-7684-5_6

@inproceedings{c9f1cdc1d7ca46c8a1276b96157f8654,

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

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.",

keywords = "Glare reduction, Hough transform, LooCI, Traffic surveillance, Vibration reduction, Wireless vision sensor network, Zigduino",

author = "David Afolabi and Nan Zhang and Liang, {Hai Ning} and Man, {Ka Lok} and Dawei Liu and Lim, {Eng Gee} and Ting, {T. O.} and Yue Yang and Lixin Cheng",

note = "Funding Information: This work was partially supported by Xi{\textquoteright}an Jiaotong-Liverpool University (Suzhou, China) Research Development Fund under Grants RDF10-01-27, RDF10-02-03, and RDF11-02-06; Xi{\textquoteright}an Jiaotong-Liverpool University Summer Undergraduate Research Fellowship under Grant 201328; and Transcend Epoch International Co. Ltd., Hong Kong.; International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013 ; Conference date: 13-03-2013 Through 15-03-2013",

year = "2014",

doi = "10.1007/978-94-007-7684-5_6",

language = "English",

isbn = "9789400776838",

series = "Lecture Notes in Electrical Engineering",

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Afolabi, D, Zhang, N, Liang, HN, Man, KL , Liu, D , Lim, EG, Ting, TO, Yang, Y & Cheng, L 2014, Vibration and reflection reduction in images captured from moving objects connected through a wireless sensor network. in Transactions on Engineering Technologies - International MultiConference of Engineers and Computer Scientists 2013. Lecture Notes in Electrical Engineering, vol. 275 LNEE, Springer Verlag, pp. 71-81, International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013, Kowloon, Hong Kong, 13/03/13. https://doi.org/10.1007/978-94-007-7684-5_6

Vibration and reflection reduction in images captured from moving objects connected through a wireless sensor network. / Afolabi, David; Zhang, Nan; Liang, Hai Ning et al.
Transactions on Engineering Technologies - International MultiConference of Engineers and Computer Scientists 2013. Springer Verlag, 2014. p. 71-81 (Lecture Notes in Electrical Engineering; Vol. 275 LNEE).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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AU - Afolabi, David

AU - Zhang, Nan

AU - Liang, Hai Ning

AU - Man, Ka Lok

AU - Liu, Dawei

AU - Lim, Eng Gee

AU - Ting, T. O.

AU - Yang, Yue

AU - Cheng, Lixin

N1 - Funding Information: 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.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

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KW - Hough transform

KW - LooCI

KW - Traffic surveillance

KW - Vibration reduction

KW - Wireless vision sensor network

KW - Zigduino

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BT - Transactions on Engineering Technologies - International MultiConference of Engineers and Computer Scientists 2013

PB - Springer Verlag

T2 - International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013

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ER -

Afolabi D, Zhang N, Liang HN, Man KL , Liu D , Lim EG et al. Vibration and reflection reduction in images captured from moving objects connected through a wireless sensor network. In Transactions on Engineering Technologies - International MultiConference of Engineers and Computer Scientists 2013. Springer Verlag. 2014. p. 71-81. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-94-007-7684-5_6

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

Abstract

Publication series

Conference

Keywords

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