Issue |
MATEC Web Conf.
Volume 108, 2017
2017 International Conference on Mechanical, Aeronautical and Automotive Engineering (ICMAA 2017)
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Article Number | 15003 | |
Number of page(s) | 4 | |
Section | Image Processing and Information System | |
DOI | https://doi.org/10.1051/matecconf/201710815003 | |
Published online | 31 May 2017 |
Multi-UAV joint target recognizing based on binocular vision theory
AVIC Fai, Avonic Department, 710089 Xi’an, China
Target recognizing of unmanned aerial vehicle (UAV) based on image processing take the advantage of 2D information containing in the image for identifying the target. Compare to single UAV with electrical optical tracking system (EOTS), multi-UAV with EOTS is able to take a group of image focused on the suspected target from multiple view point. Benefit from matching each couple of image in this group, points set constituted by matched feature points implicates the depth of each point. Coordinate of target feature points could be computing from depth of feature points. This depth information makes up a cloud of points and reconstructed an exclusive 3D model to recognizing system. Considering the target recognizing do not require precise target model, the cloud of feature points was regrouped into n subsets and reconstructed to a semi-3D model. Casting these subsets in a Cartesian coordinate and applying these projections in convolutional neural networks (CNN) respectively, the integrated output of networks is the improved result of recognizing.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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