Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

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

Author 1: Kohei Arai Author 2: Indra Nugraha Abdullah Author 3: Kensuke Kubo Author 4: Katsumi Sugawa
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 4, No. 7 · Published 2015

DOI: 10.14569/IJARAI.2015.040707

Download PDF Cite

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.

Keywords

OpenCV Canny filter Template matching Feature matching

How to Cite this Article

Arai, K., Abdullah, I. N., Kubo, K., & Sugawa, K. (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, 4(7). https://doi.org/10.14569/IJARAI.2015.040707

Arai, Kohei, et al.. "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, vol. 4, no. 7, 2015, https://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},
  volume    = {4},
  number    = {7},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Indra Nugraha Abdullah and Kensuke Kubo and Katsumi Sugawa},
  doi       = {10.14569/IJARAI.2015.040707},
  url       = {https://doi.org/10.14569/IJARAI.2015.040707}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJARAI Journal Cover