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International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 4 Issue 7, 2015.
Abstract: Methods for wild pig identifications and discrimination of female wild pigs based on feature matching methods with acquired Near Infrared: NIR moving pictures are proposed. Trials and errors are repeated for identifying wild pigs and for discrimination of female wild pigs through experiments. As a conclusion, feature matching methods with the target nipple features show a better performance. Feature matching method of FLANN shows the best performance in terms of feature extraction and tracking capabilities.
Kohei Arai, Indra Nugraha Abdullah, Kensuke Kubo and Katsumi Sugawa, “Methods for Wild Pig Identifications from Moving Pictures and Discrimination of Female Wild Pigs based on Feature Matching Methods” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(7), 2015. http://dx.doi.org/10.14569/IJARAI.2015.040707
@article{Arai2015,
title = {Methods for Wild Pig Identifications from Moving Pictures and Discrimination of Female Wild Pigs based on Feature Matching Methods},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2015.040707},
url = {http://dx.doi.org/10.14569/IJARAI.2015.040707},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {7},
author = {Kohei Arai and Indra Nugraha Abdullah and Kensuke Kubo and Katsumi Sugawa}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.