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.
Highlights
Wildlife damage in Japan is around 23 Billion Japanese Yen a year in accordance with the report from the Ministry of Agriculture, Japan
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
Feature matching method of FLANN shows the best performance in terms of feature extraction and tracking capabilities
Summary
Wildlife damage in Japan is around 23 Billion Japanese Yen a year in accordance with the report from the Ministry of Agriculture, Japan. It is not so easy to find and capture the wildlife due to lack of information about behavior Their routes, lurk locations are unknown and not easy to find. The purpose of this research work is to identify the wildlife, in particular, wild pigs for mitigation of wildlife damage. It is effective to capture female wild pigs (wild boar lays the child) for mitigation of wildlife damage. Using a template of nipple image (a small portion of image), discrimination of female wild pigs is attempted. Feature matching methods are used for female wild pig discriminations with nipple features acquired from the moving pictures. The following section describes research background followed by the proposed methods for wild pig identification and discrimination of female wild pigs. Experiments are described followed by conclusion with some discussions
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