The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2015
Session ID : 2P1-B05
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2P1-B05 Research on Automatic Capture Systems for Harmful Animals Using Image Processing : Discrimination of Animal Species by Face Image and of Adult and Infant Animals by Whole Body Image
Ryoma NUNOMEYasuhiro YAMADA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
In recent years, there has been widespread damage caused by wild animals. Medium-sized harmful animals, such as masked palm civets and raccoons, cause crop and house damages. Large-sized harmful animals, such as wild boars and deer, cause crop and forest damages. The most effective methods to catch harmful animals are a medium cage trap for medium-sized harmful animals and a wild boar cage trap for large-sized harmful animals. This study improves automatic capture systems in order to prevent mistaken trapping pet cats by a cage trap, and to reliably capture adult wild boars. For a medium cage trap, developed system uses image processing to discriminate between harmful animals, masked palm civets and raccoons, and others by using features based on the Histogram of Oriented Gradients (HOG). For a wild boar cage trap, the automatic capture system uses image processing for the discrimination of adult and infant wild boars by whole-body images.
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© 2015 The Japan Society of Mechanical Engineers
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