Methods for Wild Pig Identifications from Moving Pictures and Discrimination of Female Wild Pigs based on Feature Matching Methods
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2015, Vol 4, Issue 7
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.
Authors and Affiliations
Kohei Arai, Indra Abdullah, Kensuke Kubo, Katsumi Sugawa
Keywords
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- EP ID EP111431
- DOI 10.14569/IJARAI.2015.040707
- Views 93
- Downloads 0
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