Radial greed algorithm with rectified chromaticity for anchorless region proposal applied in aerial surveillance

International Journal of Advances in Intelligent Informatics

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Field Value
 
Title Radial greed algorithm with rectified chromaticity for anchorless region proposal applied in aerial surveillance
 
Creator Ocampo, Anton Louise Pernez De
Dadios, Elmer
 
Subject Radial greed algorithm; Anchorless region proposal; Human detection; Aerial surveillance; UAV-based monitoring
 
Description In aerial images, human figures are often rendered at low resolution and in relatively small sizes compared to other objects in the scene, or resemble likelihood to other non-human objects. The localization of trust regions for possible containment of the human figure becomes difficult and computationally exhaustive. The objective of this work is to develop an anchorless region proposal which can emphasize potential persons from other objects and the vegetative background in aerial images. Samples are taken from different angles, altitudes and environmental factors such as illumination. The original image is rendered in rectified color space to create a pseudo-segmented version where objects of close chromaticity are combined. The geometric features of segments formed are then calculated and subjected to Radial-Greed Algorithm where segments resembling human figures are selected as the proposed regions for classification. The proposed method achieved 96.76% less computational cost against brute sliding window method and hit rate of 95.96%. In addition, the proposed method achieved 98.32 % confidence level that it can hit target proposals at least 92% every time.
 
Publisher Universitas Ahmad Dahlan
 
Contributor
 
Date 2019-11-16
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://ijain.org/index.php/IJAIN/article/view/426
10.26555/ijain.v5i3.426
 
Source International Journal of Advances in Intelligent Informatics; Vol 5, No 3 (2019): November 2019; 193-205
2548-3161
2442-6571
 
Language eng
 
Relation http://ijain.org/index.php/IJAIN/article/view/426/ijain_v5i3_p193-205
 
Rights https://creativecommons.org/licenses/by-sa/4.0
 

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