Abstract
We present a scheme for multi-sensor data fusion applications, called Relative Pose based Redundancy Removal (RPRR), that efficiently enhances the wireless channel utilization in bandwidth-constrained operational scenarios for RGB-D camera equipped visual sensor networks. Pairs of nodes cooperatively determine their own relative pose, and by using this knowledge they identify the correlated data related to the common regions of the captured color and depth images. Then, they only transmit the non-redundant information present in these images. As an additional benefit, the scheme also extends the battery life through reduced number of packet transmissions. Experimental results confirm that significant gains in terms of wireless channel utilization and energy consumption would be achieved when the RPRR scheme is used in visual sensor network operations.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016) |
| Subtitle of host publication | Baden-Baden, Germany, 19-21 September 2016 |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781467397087 |
| ISBN (Print) | 9781467397094 |
| DOIs | |
| Publication status | Published - 9 Feb 2017 |
| Event | 2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016 - Baden-Baden, Germany Duration: 19 Sep 2016 → 21 Sep 2016 |
Conference
| Conference | 2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016 |
|---|---|
| Country | Germany |
| City | Baden-Baden |
| Period | 19/09/16 → 21/09/16 |
Cite this
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Collaborative multi-sensor image transmission and data fusion in mobile visual sensor networks equipped with RGB-D cameras. / Wang, Xiaoqin; Ahmet Sekercioglu, Y.; Drummond, Tom; Natalizio, Enrico; Fantoni, Isabelle; Fremont, Vincent.
2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016): Baden-Baden, Germany, 19-21 September 2016. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 1-8 7849458.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - Collaborative multi-sensor image transmission and data fusion in mobile visual sensor networks equipped with RGB-D cameras
AU - Wang, Xiaoqin
AU - Ahmet Sekercioglu, Y.
AU - Drummond, Tom
AU - Natalizio, Enrico
AU - Fantoni, Isabelle
AU - Fremont, Vincent
PY - 2017/2/9
Y1 - 2017/2/9
N2 - We present a scheme for multi-sensor data fusion applications, called Relative Pose based Redundancy Removal (RPRR), that efficiently enhances the wireless channel utilization in bandwidth-constrained operational scenarios for RGB-D camera equipped visual sensor networks. Pairs of nodes cooperatively determine their own relative pose, and by using this knowledge they identify the correlated data related to the common regions of the captured color and depth images. Then, they only transmit the non-redundant information present in these images. As an additional benefit, the scheme also extends the battery life through reduced number of packet transmissions. Experimental results confirm that significant gains in terms of wireless channel utilization and energy consumption would be achieved when the RPRR scheme is used in visual sensor network operations.
AB - We present a scheme for multi-sensor data fusion applications, called Relative Pose based Redundancy Removal (RPRR), that efficiently enhances the wireless channel utilization in bandwidth-constrained operational scenarios for RGB-D camera equipped visual sensor networks. Pairs of nodes cooperatively determine their own relative pose, and by using this knowledge they identify the correlated data related to the common regions of the captured color and depth images. Then, they only transmit the non-redundant information present in these images. As an additional benefit, the scheme also extends the battery life through reduced number of packet transmissions. Experimental results confirm that significant gains in terms of wireless channel utilization and energy consumption would be achieved when the RPRR scheme is used in visual sensor network operations.
UR - http://www.scopus.com/inward/record.url?scp=85015188157&partnerID=8YFLogxK
U2 - 10.1109/MFI.2016.7849458
DO - 10.1109/MFI.2016.7849458
M3 - Conference Paper
SN - 9781467397094
SP - 1
EP - 8
BT - 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016)
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - Piscataway, NJ
ER -