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首页> 外文会议>SICE Annual Conference >Automatic Capturing System of cage traps for medium-sized destructive animals: Reduction Method of Unintentionally Catch
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Automatic Capturing System of cage traps for medium-sized destructive animals: Reduction Method of Unintentionally Catch

机译：中型破坏性动物笼式诱捕器自动捕获系统：减少无意捕捞的方法

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In recent years, there has been widespread damage caused by medium-sized animals, such as civets, weasels, and raccoons. Cage traps for catching destructive animals are commercially available, however these traps could unintentionally catch a pet such as a cat. This study proposes two systems in order to achieve a trap that can catch medium-sized destructive animals which is inexpensive and does not unintentionally catch other animals. The first capture system was sensitive to brightness and would therefore operate only at night, thereby making use of the nocturnal properties of the destructive animals. The second capture system used image processing and would determine which destructive animals is in the trap by means of camera images of the animal's face. The capture system which was sensitive to brightness, succeeded in verifying the capture of several weasels. The capture system which used image processing, successfully identified raccoons and cats using features based on the Histogram of Oriented Gradients (HOG), and was therefore shown to be effective in animal species determination.
机译：近年来，中型动物（如麝猫，黄鼬和浣熊）造成了广泛的破坏。用于捕获破坏性动物的笼式诱捕器在市场上可以买到，但是这些诱捕器可能会无意间捕获宠物（例如猫）。这项研究提出了两种系统，以实现一种诱捕器，该诱捕器可以捕获廉价的中型破坏性动物，并且不会无意中捕获其他动物。第一个捕获系统对亮度敏感，因此只能在晚上运行，从而利用了破坏性动物的夜间活动特性。第二个捕获系统使用图像处理，并通过动物脸部的相机图像来确定陷阱中有哪些破坏性动物。对亮度敏感的捕获系统成功地验证了几只黄鼠狼的捕获。使用图像处理的捕获系统使用基于梯度直方图（HOG）的特征成功地识别了浣熊和猫，因此被证明在确定动物物种方面是有效的。

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