A Face Identification Method of Non-native Animals for Intelligent Trap

نویسندگان

  • Mayumi Kouda
  • Masakazu Morimoto
  • Kensaku Fujii
چکیده

In this paper, we develop a face identification method to distinguish target non-native alien animals from other native animals using camera captured images. When a camera recognizes that target animal walked in the cage, it traps the animal in the cage. Here, we set raccoon as target non-native animal, and detect its face region by using HOG features. However, the raccoon face detector often confused by raccoon dog, which is a native animal to be preserved. So, after detecting raccoon face candidates, we distinguish them by several features and SVM. Some experimental results show that we can completely distinguish raccoon and raccoon dog from camera captured images.

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تاریخ انتشار 2011