Methods for Wild Pig Identifications from Moving Pictures and Discrimination of Female Wild Pigs based on Feature Matching Methods

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

Related Articles

Temporally Annotated Extended Logic Programs

Extended logic programs (ELPs) are a set of logic rules with strong negation allowed in the bodies or head of the rules and weak negation ~ allowed in the bodies of the rules. ELPs enable for various forms of reasoning t...

 Lung Cancer Detection on CT Scan Images: A Review on the Analysis Techniques

 Lung nodules are potential manifestations of lung cancer, and their early detection facilitates early treatment and improves patient’s chances for survival. For this reason, CAD systems for lung cancer have been pr...

 Highly Accurate Prediction of Jobs Runtime Classes

 Separating the short jobs from the long is a known technique to improve scheduling performance. This paper describes a method developed for accurately predicting the runtimes classes of the jobs to enable the separ...

Intelligent Agent based Flight Search and Booking System

The world globalization is widely used, and there are several definitions that may fit this one word. However the reality remains that globalization has impacted and is impacting each individual on this planet. It is def...

 E-Learning System Utilizing Learners’ Characteristics Recognized Through Learning Processes with Open Simulator

 E-learning system utilizing learners’ characteristics which is recognized through learning processes with Open Simulator for overcoming week points is proposed. Through dialogs with avatars in the Open Simulator, i...

Download PDF file
  • EP ID EP111431
  • DOI 10.14569/IJARAI.2015.040707
  • Views 133
  • Downloads 0

How To Cite

Kohei Arai, Indra Abdullah, Kensuke Kubo, Katsumi Sugawa (2015).  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), 41-46. https://europub.co.uk./articles/-A-111431