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Generation Method of the Trigger Signal for the Automatic Capture System to the Harmful Animals with Intelligent Image Processing

  • Conference paper
Distributed Computing and Artificial Intelligence, 11th International Conference

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 290))

Abstract

Up to now, some damage by the harmful animals such as deer and wild boars are increased abruptly. Their damage such as crash between cars and harmful animals, eating all domestic vegetables are occurred at not only local area but also urban area. Under these backgrounds, an efficient and reliable capturing system for the harmful animals is requested, extremely. We aim at to develop an efficient automatic capturing system for harmful animals using image as a final product. Especially, we focus its generation method of the trigger signal for the capture devices. For the all days use without human’s monitor and operation, we propose a new generation method for the trigger signal using an intelligent image processing and a new camera device Kinect. We consider activation of the trap according to the animal’s shape and size furthermore motion by the optical flow analysis, automatically. The Kinect is equipped infrared radiation projector and its receiver camera, which can get the depth image. We construct an experimental device, which is simple and miniature of the real size and investigate detection ability. We discuss its effectiveness of the generation method for the realization of the capture system.

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Correspondence to Fumiaki Takeda .

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Takeda, F. (2014). Generation Method of the Trigger Signal for the Automatic Capture System to the Harmful Animals with Intelligent Image Processing. In: Omatu, S., Bersini, H., Corchado, J., Rodríguez, S., Pawlewski, P., Bucciarelli, E. (eds) Distributed Computing and Artificial Intelligence, 11th International Conference. Advances in Intelligent Systems and Computing, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-319-07593-8_52

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  • DOI: https://doi.org/10.1007/978-3-319-07593-8_52

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07592-1

  • Online ISBN: 978-3-319-07593-8

  • eBook Packages: EngineeringEngineering (R0)

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