Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Animal detection in aerial videos is a challenging problem due to the complex nature of the scenes involved as well as the natural ability of the animals to camouflage their environment. To assist with the detection and classification of animals for the purpose of nature conservation management, texture analysis is applied to aerial videos of wildlife scenes to segment the environment from the animals. To perform automatic wildlife surveying and animal monitoring, it is proposed to use GLCM texture segmentation to reduce the search area for animals in the aerial videos. Using the texture in the scene, the issues of a moving background and unpredictable state of the animal are avoided. The method presented is well suited to implementation on a UAV as it is easily parallelizable.
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Rishaad Abdoola. 2026. \u201cTexture Based Animal Segmentation in Aerial Videos\u201d. Global Journal of Research in Engineering - A : Mechanical & Mechanics GJRE-A Volume 23 (GJRE Volume 23 Issue A3): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 105
Country: South Africa
Subject: Global Journal of Research in Engineering - A : Mechanical & Mechanics
Authors: Rishaad Abdoola, Yunfei Fang, Shengzhi Du, Paul Bartels, Christiaan Oosthuizen (PhD/Dr. count: 0)
View Count (all-time): 200
Total Views (Real + Logic): 1178
Total Downloads (simulated): 30
Publish Date: 2026 01, Fri
Monthly Totals (Real + Logic):
Neural Networks and Rules-based Systems used to Find Rational and
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